diff --git "a/data/prs.json" "b/data/prs.json"
--- "a/data/prs.json"
+++ "b/data/prs.json"
@@ -1,284 +1,18 @@
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-    "title": "[WIP][Fix] GLM 5 set `apply_rotary_pos_emb` to `is_neox_style=False` && remove `F.relu()`",
-    "updated_at": "2026-03-26T10:14:50Z"
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-    "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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-    "body_excerpt": "## What does this PR do? Fixes a `KeyError` in `_can_set_attn_implementation` and `_can_set_experts_implementation` when a model's module is absent from `sys.modules`. Fixes #45003 ## Root Cause Both `_can_set_attn_implementation` (line 19\u2026",
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-    "body_excerpt": "# What does this PR do? #30674 refactors the way we obtain CircleCI test files to run for each job. It always puts [\"tests\"] for `tests_hub`, so each commit of each PR will run it, no matter if there is any change to codebase. Let's reduce\u2026",
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-    "body_excerpt": "@ydshieh Hi, can you help review? Thx!",
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-    "author": "dagecko",
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-    "body_excerpt": "## Fix: CI/CD Security Vulnerabilities in GitHub Actions Hi! [Runner Guard](https://github.com/Vigilant-LLC/runner-guard), an open-source CI/CD security scanner by [Vigilant Cyber Security](https://www.vigilantdefense.com), identified secu\u2026",
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-    "body_excerpt": "# What does this PR do? This patch improves the docstring checker implementation (redundant AST walks) and adds cache. For the AST calls, 2.3x speedup check_docstrings.py --check_all on my M1: - before : 29.3s - after: 12.6s",
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-    "body_excerpt": "## Summary Fix type annotation bugs across config classes that cause `@strict` validation errors from `huggingface_hub`. ### Bool fields mistyped as `int` (22 fixes) Fields with boolean defaults (`True`/`False`) were annotated as `int` ins\u2026",
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-    "body_excerpt": "## Summary Fixes #44869 Adds a bounds check in `_split_tokens_on_unicode()` in `tokenization_whisper.py` to handle trailing Unicode replacement characters (U+FFFD) at the end of decoded token streams without crashing with `IndexError`. ##\u2026",
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     "author": "harshaljanjani",
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-    "body_excerpt": "### What does this PR do? The following failing tests were identified and fixed in this PR (grouped them together since they share related root causes OR the code changes were extremely minimal and didn't warrant separate PRs): \u2192 **Phi-3**\u2026",
+    "body_excerpt": "### What does this PR do? The following failing tests were identified and fixed in this PR (grouped them together since they share related root causes OR the code changes were extremely minimal and didn't warrant separate PRs): \u2192 **Pi0**:\u2026",
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     "title": "fix(testing): Fix Parakeet, Evolla, Pi0, and Phi-3 test failures on main CI",
-    "updated_at": "2026-03-26T05:57:34Z"
+    "updated_at": "2026-03-25T19:58:57Z"
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@@ -306,15 +40,15 @@
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+    "state": "open",
     "title": "Fix type hint for `attention_chunk_size` in `Llama4TextConfig`",
-    "updated_at": "2026-03-25T20:42:11Z"
+    "updated_at": "2026-03-25T17:52:53Z"
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+    "additions": 7,
     "author": "Sai-Suraj-27",
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     "body_excerpt": "# What does this PR do? For [torch>=2.10.0](https://docs.pytorch.org/docs/2.10/generated/torch.nn.functional.grouped_mm.html#torch-nn-functional-grouped-mm), the minimum CUDA compute capability requirement for `torch.nn.functional.grouped_\u2026",
@@ -322,10 +56,10 @@
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@@ -335,7 +69,7 @@
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     "title": "Add cuda compatibility check for using `grouped_mm`",
-    "updated_at": "2026-03-26T00:24:20Z"
+    "updated_at": "2026-03-25T19:31:09Z"
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     "title": "Add sarvam model",
-    "updated_at": "2026-03-26T01:38:21Z"
+    "updated_at": "2026-03-25T16:31:36Z"
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@@ -410,18 +144,18 @@
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+    "additions": 255,
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     "body_excerpt": "- TODO: - fix failing tests due to API change - make sure our `fsdp2` is not triggered if `accelerate` is on - Introduce `DistributedConfig` - `DistributedConfig(tp_size=2, fsdp_size=2) # plans default to \"auto\"` replaces passing separate\u2026",
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     "title": " from_pretrained distributed refactor (FSDP2 + TP)",
-    "updated_at": "2026-03-26T10:17:40Z"
+    "updated_at": "2026-03-25T17:22:04Z"
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@@ -460,18 +192,18 @@
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+    "additions": 426,
     "author": "tarekziade",
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-    "body_excerpt": "# What does this PR do? `make check-repo` can be quite slow, this patch adds file-level cache to speed up checks. We get up to a 27x speedup - cold cache : 46s - warm cache : 1.6s",
-    "changed_files": 3,
+    "body_excerpt": "# What does this PR do? `make check-repo` can be quite slow, one of the biggest bottleneck is the docstring checker that look at all functions/methods. Checkers in general also don't have any cache to prevent re-running on files that have\u2026",
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@@ -481,7 +213,7 @@
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     "title": "refactoring: speedup static checks",
-    "updated_at": "2026-03-26T07:12:21Z"
+    "updated_at": "2026-03-25T16:52:04Z"
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@@ -540,7 +272,7 @@
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@@ -550,10 +282,10 @@
     "labels": [],
     "merged": false,
     "number": 44988,
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     "state": "open",
     "title": "typing: add rule 14 - checks for tie_word_embeddings presence",
-    "updated_at": "2026-03-26T09:52:02Z"
+    "updated_at": "2026-03-25T13:00:07Z"
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@@ -628,15 +360,15 @@
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     "author": "Hyungkeun-Park-Nota",
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-    "body_excerpt": "## What does this PR do? Fixes `save_pretrained()` failure for GPT-OSS models loaded with `Mxfp4Config(dequantize=True)`. When Triton/kernels are unavailable, transformers automatically falls back to `dequantize=True`, converting MXFP4 wei\u2026",
-    "changed_files": 2,
+    "body_excerpt": "## What does this PR do? Implements `Mxfp4Dequantize.reverse_op` so that `save_pretrained()` works for GPT-OSS models loaded with `Mxfp4Config(dequantize=True)`. Currently, `Mxfp4Deserialize` has a `reverse_op` (`Mxfp4ReverseDeserialize`),\u2026",
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@@ -649,7 +381,7 @@
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     "title": "fix: implement Mxfp4Dequantize.reverse_op for save_pretrained support",
-    "updated_at": "2026-03-26T02:23:28Z"
+    "updated_at": "2026-03-25T14:09:22Z"
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@@ -673,7 +405,7 @@
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     "title": "Trainer: set skip_logits for loss-only eval when liger enabled",
-    "updated_at": "2026-03-25T22:07:33Z"
+    "updated_at": "2026-03-25T02:39:15Z"
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     "body_excerpt": "# What does this PR do? Introduces `src/transformers/module_fusion.py`, a utility for fusing adjacent submodules in a model into a single FusedModule that executes them as a chain in one forward pass. The key components are: - `RegistryCol\u2026",
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@@ -1427,11 +1159,9 @@
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     "body_excerpt": "# What does this PR do? Fixes this failing [T5ModelIntegrationTest](https://github.com/huggingface/transformers/actions/runs/23230643883/job/67524758706#step:14:1449) & this [Qwen2IntegrationTest](https://github.com/huggingface/transformer\u2026",
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@@ -2987,12 +2717,10 @@
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     "body_excerpt": "# What does this PR do? Fixes these failing [Qwen3OmniModelIntegrationTests](https://github.com/huggingface/transformers/actions/runs/23230643883/job/67524756897#step:14:1131) <img width=\"2292\" height=\"161\" alt=\"image\" src=\"https://github.\u2026",
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@@ -3005,13 +2733,13 @@
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-    "body_excerpt": "# What does this PR do? Activated `anti-slop` action. Enabled checks: - `min-account-age: 30` to catch brand-new throwaway accounts, which are common in automated spam waves. - `max-daily-forks: 7` to catch accounts that fork many reposito\u2026",
+    "body_excerpt": "# What does this PR do? Activated `anti-slop` action. - min-account-age: 30 (most slop accounts are < 1 month old) - detect-spam-usernames: true (Catches obvious spam patterns) - min-profile-completeness: 3 (Low bar, but catches bare-bones\u2026",
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     "body_excerpt": "## What does this PR do? Migrates the GPT-J model to use the new `@capture_outputs` and `@can_return_tuple` decorators for standardized output collection, as described in #43979. ### Changes - Added `_can_record_outputs` to `GPTJPreTrained\u2026",
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@@ -8676,11 +8396,9 @@
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@@ -8942,11 +8660,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? Fixes these failing [MusicgenStereoIntegrationTests](https://github.com/huggingface/transformers/actions/runs/22606636929/job/65500451700#step:14:7870) ## Before submitting - [ ] This PR fixes a typo or improves the\u2026",
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@@ -9090,11 +8806,9 @@
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     "body_excerpt": "# What does this PR do? Fixes these failing [MarianIntegrationTests](https://github.com/huggingface/transformers/actions/runs/22606636929/job/65500458014#step:14:6186) <img width=\"2378\" height=\"657\" alt=\"image\" src=\"https://github.com/user\u2026",
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@@ -9191,11 +8905,9 @@
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     "body_excerpt": "# What does this PR do? Fixes this failing [GPTNeoModelLanguageGenerationTest](https://github.com/huggingface/transformers/actions/runs/22606636929/job/65500455894#step:14:1483) <img width=\"2363\" height=\"239\" alt=\"image\" src=\"https://githu\u2026",
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@@ -9653,11 +9365,9 @@
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     "body_excerpt": "@ArthurZucker @Cyrilvallez pls help review, thx! This PR fixes failed test case: `pytest -rA tests/models/eurobert/test_modeling_eurobert.py::EuroBertModelTest::test_model_parallelism`",
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@@ -10213,11 +9923,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? Fixes this failing [DepthProModelIntegrationTest](https://github.com/huggingface/transformers/actions/runs/22606636929/job/65500453624#step:14:4893). <img width=\"2231\" height=\"99\" alt=\"image\" src=\"https://github.com\u2026",
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@@ -10263,11 +9971,9 @@
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     "body_excerpt": "## Summary - Fixes the `_init_weights` method in `PegasusPreTrainedModel` and `MarianPreTrainedModel` to handle sinusoidal position embeddings before calling `super()._init_weights(module)`, preventing the generic `nn.Embedding` branch fro\u2026",
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@@ -10485,11 +10191,9 @@
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     "body_excerpt": "# What does this PR do? Fixes this failing [ProphetNetModelIntegrationTest](https://github.com/huggingface/transformers/actions/runs/22606636929/job/65500453490#step:14:2331). <img width=\"2303\" height=\"165\" alt=\"image\" src=\"https://github.\u2026",
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@@ -10692,10 +10396,10 @@
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@@ -11335,11 +11037,9 @@
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@@ -12353,9 +12053,11 @@
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     "body_excerpt": "### What does this PR do? \u2192 This PR adds **DEIMv2** to Transformers! \u2192 **IMP:** I've linked two notebooks: a [Colab notebook here](https://colab.research.google.com/drive/1jCNefxrKiHWdBEIYTcU3jsd9xyWDwIxC?usp=sharing) demonstrating the fun\u2026",
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@@ -12721,11 +12423,9 @@
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     "body_excerpt": "@vasqu This PR skipped 2 invalid test cases: ``` tests/models/voxtral_realtime/test_modeling_voxtral_realtime.py::VoxtralRealtimeForConditionalGenerationModelTest::test_generate_with_quant_cache tests/models/voxtral_realtime/test_modeling_\u2026",
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     "body_excerpt": "Fixes #43975 ## Summary This PR fixes: `deepseek-ai/deepseek-coder-6.7b-instruct` incorrectly detokenizes in v5 ## Changes ``` src/transformers/tokenization_utils_tokenizers.py | 12 ++++- tests/models/llama/test_tokenization_llama.py | 60\u2026",
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@@ -15067,11 +14765,9 @@
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     "body_excerpt": "Fixes #43937 ## Summary This PR fixes: [GLM-5] ValueError: GenerationConfig is invalid ## Changes ``` src/transformers/generation/configuration_utils.py | 13 +++++++++++- src/transformers/modeling_utils.py | 2 +- tests/generation/test_conf\u2026",
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@@ -15093,11 +14789,9 @@
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     "body_excerpt": "Fixes #43881 ## Summary This PR fixes: glm-4v-9b loading failed ## Changes ``` src/transformers/configuration_utils.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) ``` ## Testing Please review the changes carefully. T\u2026",
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@@ -15121,11 +14815,9 @@
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     "body_excerpt": "Fixes #44062 ## Summary This PR fixes: TypeError: tokenizers.AddedToken() got multiple values for keyword argument 'special' ## Changes ``` src/transformers/tokenization_utils_base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-\u2026",
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@@ -15149,11 +14841,9 @@
     "author_association": "NONE",
     "body_excerpt": "Fixes #44075 ## Summary This PR fixes: Optimizer SGD args are not used ## Changes ``` src/transformers/trainer_optimizer.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) ``` ## Testing Please review the changes carefully. The fix\u2026",
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@@ -15177,11 +14867,9 @@
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     "body_excerpt": "Fixes #43986 ## Summary This PR fixes: Confusing crash when loading a video model through AutoProcessor without torchvision installed ## Changes ``` src/transformers/models/auto/video_processing_auto.py | 2 ++ 1 file changed, 2 insertions(\u2026",
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@@ -15205,11 +14893,9 @@
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     "body_excerpt": "Fixes #44079 ## Summary This PR fixes: `ModelOutput` keys aren't correctly assigned if key was previously None ## Changes ``` src/transformers/utils/generic.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) ``` ## Testing Please r\u2026",
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@@ -15233,11 +14919,9 @@
     "author_association": "NONE",
     "body_excerpt": "Fixes #44155 ## Summary This PR fixes: [AudioFlamingo3] Batched inference produces incorrect results due to embedding/token leak between tracks ## Changes ``` .../audioflamingo3/modeling_audioflamingo3.py | 51 +++++++++++++++++++--- .../au\u2026",
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@@ -15616,7 +15300,7 @@
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     "author": "lmaksym",
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? This PR adds TDT decoder support for Parakeet ASR models, extending the existing CTC-only implementation. It incorporates the initial TDT integration work from [#41545](https://github.com/huggingface/transformers/pu\u2026",
@@ -15637,10 +15321,10 @@
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     "number": 44171,
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@@ -15914,9 +15598,9 @@
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     "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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@@ -15964,11 +15648,9 @@
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     "body_excerpt": "Part of the ongoing effort to migrate models to standardized output collection (ref #43979). Replaces manual output_hidden_states/output_attentions/return_dict handling with @capture_outputs and @can_return_tuple decorators in the BioGPT m\u2026",
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@@ -15990,11 +15672,9 @@
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     "body_excerpt": "Part of the ongoing effort to migrate models to standardized output collection (ref #43979). Replaces manual output_hidden_states/output_attentions/return_dict handling with @capture_outputs and @can_return_tuple decorators in the MPT mode\u2026",
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@@ -16016,11 +15696,9 @@
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     "body_excerpt": "Part of the ongoing effort to migrate models to standardized output collection (ref #43979). Replaces manual output_hidden_states/output_attentions/return_dict handling with @capture_outputs and @can_return_tuple decorators in the CPMAnt m\u2026",
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@@ -16042,11 +15720,9 @@
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     "body_excerpt": "Part of the ongoing effort to migrate models to standardized output collection (ref #43979). Replaces manual output_hidden_states/output_attentions/return_dict handling with @capture_outputs and @can_return_tuple decorators in the Bros mod\u2026",
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@@ -16068,11 +15744,9 @@
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     "body_excerpt": "Part of the ongoing effort to migrate models to standardized output collection (ref #43979). Replaces manual output_hidden_states/output_attentions/return_dict handling with @capture_outputs and @can_return_tuple decorators in the CTRL mod\u2026",
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@@ -16110,7 +15784,7 @@
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@@ -16310,11 +15984,9 @@
     "author_association": "NONE",
     "body_excerpt": "Migrated from https://github.com/huggingface/transformers/pull/44107 (original account: @fumadari). ## Summary - Replaces manual `output_hidden_states`/`return_dict` resolution in `MraModel` with `@merge_with_config_defaults` and `@capture\u2026",
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     "created_at": "2026-02-18T21:14:39Z",
@@ -16336,11 +16008,9 @@
     "author_association": "NONE",
     "body_excerpt": "Migrated from https://github.com/huggingface/transformers/pull/44108 (original account: @fumadari). ## Summary - Adds `@merge_with_config_defaults` and `@capture_outputs` to both `VitDetModel` and `VitDetBackbone`, removing manual `output_\u2026",
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@@ -16362,11 +16032,9 @@
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     "body_excerpt": "Migrated from https://github.com/huggingface/transformers/pull/44109 (original account: @fumadari). ## Summary - Part of #43979 \u2014 refactors `hgnet_v2` to use the `capture_outputs` and `merge_with_config_defaults` decorators - Simplifies `H\u2026",
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@@ -16388,11 +16056,9 @@
     "author_association": "NONE",
     "body_excerpt": "Migrated from https://github.com/huggingface/transformers/pull/44110 (original account: @fumadari). ## Summary - Part of #43979 \u2014 refactors `tvp` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` decorators\u2026",
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@@ -16414,11 +16080,9 @@
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     "body_excerpt": "Migrated from https://github.com/huggingface/transformers/pull/44111 (original account: @fumadari). ## Summary - Part of #43979 \u2014 refactors `poolformer` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` dec\u2026",
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@@ -16512,9 +16176,9 @@
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     "body_excerpt": "# What does this PR do? Refactors SpeechT5 to the standardized output tracing interface. - Adds `@capture_outputs` to base encoder/decoder forwards. - Adds `_can_record_outputs` mappings for hidden states and attentions. - Adds `@can_retur\u2026",
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@@ -16533,7 +16197,7 @@
     "updated_at": "2026-02-18T11:25:19Z"
   },
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     "author": "ArthurZucker",
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     "body_excerpt": "# What does this PR do? Just makes sure we trigger dev version update",
@@ -16554,7 +16218,7 @@
     "review_comments_count": 4,
     "state": "open",
     "title": "update release workflow",
-    "updated_at": "2026-03-26T09:48:44Z"
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@@ -16880,11 +16544,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `poolformer` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` decorators - Simplifies `PoolFormerLayer` to return a single tensor instead of a 1-tuple - Simplifies `\u2026",
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@@ -16906,11 +16568,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `tvp` to use the `capture_outputs`, `can_return_tuple`, and `merge_with_config_defaults` decorators - Simplifies `TvpAttention` to always return `(output, attention_probs)` (hooks decide what to capt\u2026",
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     "created_at": "2026-02-17T19:32:55Z",
@@ -16932,11 +16592,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary - Part of #43979 \u2014 refactors `hgnet_v2` to use the `capture_outputs` and `merge_with_config_defaults` decorators - Simplifies `HGNetV2Encoder` by removing `return_dict` parameter (always returns `BaseModelOutputWithNoAttention`)\u2026",
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-    "cluster_id": "cluster-44107-10",
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-    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44109",
     "created_at": "2026-02-17T19:23:03Z",
@@ -16958,11 +16616,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary - Adds `@merge_with_config_defaults` and `@capture_outputs` to both `VitDetModel` and `VitDetBackbone`, removing manual `output_attentions`/`return_dict` resolution - Adds `_can_record_outputs = {\"attentions\": VitDetAttention}`\u2026",
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     "created_at": "2026-02-17T19:15:00Z",
@@ -16984,11 +16640,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary - Replaces manual `output_hidden_states`/`return_dict` resolution in `MraModel` with `@merge_with_config_defaults` and `@capture_outputs` decorators - Simplifies `MraEncoder` to a plain loop returning a single tensor, removing `\u2026",
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@@ -17322,11 +16976,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary Refactors the DeBERTa model to use the standardized output collection interface with `@capture_outputs` and `@can_return_tuple` decorators. ### Changes - Add `_can_record_outputs` on `DebertaPreTrainedModel` mapping `hidden_stat\u2026",
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     "created_at": "2026-02-17T14:15:07Z",
@@ -17372,11 +17024,9 @@
     "author_association": "NONE",
     "body_excerpt": "## What does this PR do? Refactors the `swin` model to use the standardized output collection interface (`@capture_outputs` and `@can_return_tuple` decorators), as described in #43979. ### Changes **SwinPreTrainedModel:** - Added `_can_rec\u2026",
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-    "cluster_id": "cluster-43979-28",
-    "cluster_ids": [
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44091",
     "created_at": "2026-02-17T14:14:56Z",
@@ -17422,11 +17072,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "Fixes #43979 ## Summary Refactor T5 to the standardized output tracing interface. ## Changes - Added `_can_record_outputs` on T5 encoder/decoder stack subclasses. - Added `@capture_outputs` on the base stack forward. - Added `@can_return_t\u2026",
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-    "cluster_id": "cluster-43979-28",
-    "cluster_ids": [
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-    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44089",
     "created_at": "2026-02-17T11:37:18Z",
@@ -17520,9 +17168,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## What does this PR do? Refactors the RemBERT model to use the new output tracing decorators (`@capture_outputs` and `@can_return_tuple`), replacing manual output collection boilerplate. ### Changes: - Added `@capture_outputs` decorator t\u2026",
     "changed_files": 1,
-    "cluster_id": "cluster-43979-28",
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@@ -17546,11 +17194,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## What does this PR do? Refactors the GPT-J model to use the new `capture_outputs` and `can_return_tuple` decorators for output tracing, following the same pattern as #44046 (CodeGen). ### Changes: - Added `@capture_outputs` decorator on\u2026",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44084",
     "created_at": "2026-02-17T11:08:48Z",
@@ -17764,9 +17410,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "# Refactor efficientnet output tracing # What does this PR do? This Pull Request migrates the EfficientNet model to use the standardized @capture_outputs and @can_return_tuple decorators. - Added _can_record_outputs to `EfficientNetPreTrai\u2026",
     "changed_files": 1,
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@@ -17862,9 +17508,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "Replaces manual `output_attentions`/`output_hidden_states`/`return_dict` boilerplate in GPT-Neo with the hook-based decorator system. **Changes:** - Added `_can_record_outputs = {\"hidden_states\": GPTNeoBlock, \"attentions\": GPTNeoAttention}\u2026",
     "changed_files": 2,
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44068",
     "created_at": "2026-02-17T06:13:37Z",
@@ -17912,9 +17560,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "Migrate GPT-J from manual boilerplate output collection to the new decorator-based output tracing system: - Add `_can_record_outputs` to `GPTJPreTrainedModel` - Add `@capture_outputs` and `@merge_with_config_defaults` to `GPTJModel.forward\u2026",
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@@ -18182,11 +17830,9 @@
     "author_association": "MEMBER",
     "body_excerpt": "# What does this PR do?",
     "changed_files": 1,
-    "cluster_id": "cluster-44053-8",
-    "cluster_ids": [
-      "cluster-44053-8"
-    ],
-    "cluster_role": "member",
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     "created_at": "2026-02-16T17:59:48Z",
@@ -18376,9 +18022,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
     "changed_files": 1,
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@@ -18498,11 +18144,9 @@
     "author_association": "NONE",
     "body_excerpt": "```diff diff --git a/transformers/modeling_utils.py b/transformers/modeling_utils.py index 1234567..8901234 100644 --- a/transformers/modeling_utils.py +++ b/transformers/modeling_utils.py @@ -10,6 +10,7 @@ from transformers import PreTrai\u2026",
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-    "cluster_id": "cluster-43979-28",
-    "cluster_ids": [
-      "cluster-43979-28"
-    ],
-    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44039",
     "created_at": "2026-02-16T12:01:26Z",
@@ -18598,11 +18242,9 @@
     "author_association": "MEMBER",
     "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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-    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44034",
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@@ -18672,11 +18314,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the`dpr` model as per #43979 cc @molbap <img width=\"853\" height=\"323\" alt=\"Screenshot 2026-02-16 at 9 13 30 AM\" src=\"https://github.com/user-attachments/assets/d658f1d0-75e8-4eac-8a12-9aeddf194dde\" />",
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-      "cluster-43998-11"
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-    "cluster_role": "member",
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@@ -18698,11 +18338,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the`rwkv` model as per #43979 cc @molbap <img width=\"856\" height=\"333\" alt=\"Screenshot 2026-02-16 at 9 06 34 AM\" src=\"https://github.com/user-attachments/assets/9c8c5d41-ffbd-45f6-8b9b-1429bcb14543\" />",
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-    "cluster_role": "member",
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@@ -18724,11 +18362,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the`superpoint` model as per #43979 cc @molbap <img width=\"857\" height=\"334\" alt=\"Screenshot 2026-02-16 at 8 53 43 AM\" src=\"https://github.com/user-attachments/assets/17781b76-743b-4b38-923a-8db3b94ccd01\" />",
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@@ -18750,11 +18386,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `speech_encoder_decoder` model as per #43979 cc @molbap <img width=\"852\" height=\"335\" alt=\"Screenshot 2026-02-16 at 8 44 05 AM\" src=\"https://github.com/user-attachments/assets/ee25c72b-b995-403c-b47b-3e9cbae0d2cc\" />",
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@@ -18776,11 +18410,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the`vision_encoder_decoder` model as per #43979 cc @molbap <img width=\"849\" height=\"333\" alt=\"Screenshot 2026-02-16 at 8 28 20 AM\" src=\"https://github.com/user-attachments/assets/9f511a17-947b-46ed-82a8-8bb9bb103f15\" />",
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@@ -18802,11 +18434,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `depth_anything` model as per #43979 cc @molbap <img width=\"840\" height=\"330\" alt=\"Screenshot 2026-02-16 at 8 25 01 AM\" src=\"https://github.com/user-attachments/assets/fe7770be-70cb-4343-accb-7407c6bbb4f8\" />",
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@@ -18852,11 +18482,9 @@
     "author_association": "NONE",
     "body_excerpt": "## What does this PR do? Refactors the Nystromformer model to use the new `@capture_outputs` and `@can_return_tuple` decorators for standardized output collection, as part of #43979. ### Changes: - Add `_can_record_outputs` on `Nystromform\u2026",
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-      "cluster-43979-28"
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-    "cluster_role": "member",
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     "created_at": "2026-02-15T21:53:48Z",
@@ -18878,11 +18506,9 @@
     "author_association": "NONE",
     "body_excerpt": "## What does this PR do? Refactors the ConvBERT model to use the new `@capture_outputs` and `@can_return_tuple` decorators for standardized output collection, as part of #43979. ### Changes: - Move `ConvBertPreTrainedModel` after layer def\u2026",
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-    "cluster_id": "cluster-43979-28",
-    "cluster_ids": [
-      "cluster-43979-28"
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-    "cluster_role": "member",
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     "created_at": "2026-02-15T21:49:57Z",
@@ -18928,11 +18554,9 @@
     "author_association": "NONE",
     "body_excerpt": "## Summary Refactors the DeBERTa model to use the standardized output collection interface with `@capture_outputs` and `@can_return_tuple` decorators. ### Changes - Add `_can_record_outputs` on `DebertaPreTrainedModel` mapping `hidden_stat\u2026",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44020",
     "created_at": "2026-02-15T21:39:17Z",
@@ -18978,9 +18602,11 @@
     "author_association": "FIRST_TIMER",
     "body_excerpt": "## Summary - Migrates `gpt_neo` to the standardized output collection interface as part of #43979 - Adds `@capture_outputs` decorator on `GPTNeoModel.forward` (base model) - Adds `@can_return_tuple` decorator on all wrapper model forwards\u2026",
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-    "cluster_ids": [],
-    "cluster_role": null,
+    "cluster_id": "cluster-44018-2",
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+    "cluster_role": "member",
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     "created_at": "2026-02-15T19:35:06Z",
@@ -19074,9 +18700,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
     "changed_files": 1,
-    "cluster_id": "cluster-43979-28",
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@@ -19124,11 +18750,9 @@
     "author_association": "NONE",
     "body_excerpt": "## What does this PR do? Refactors the `swin` model to use the standardized output collection interface (`@capture_outputs` and `@can_return_tuple` decorators), as described in #43979. ### Changes **SwinPreTrainedModel:** - Added `_can_rec\u2026",
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-    "cluster_id": "cluster-43979-28",
-    "cluster_ids": [
-      "cluster-43979-28"
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-    "cluster_role": "member",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44011",
     "created_at": "2026-02-15T11:11:02Z",
@@ -19150,11 +18774,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "#43979. Refactors SqueezeBert to the standardized output collection interface: - Adds `_can_record_outputs` in `SqueezeBertPreTrainedModel` - Adds `@capture_outputs` on `SqueezeBertModel.forward` - Adds `@can_return_tuple` on task model fo\u2026",
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-    "cluster_id": "cluster-43979-28",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44010",
     "created_at": "2026-02-15T09:40:09Z",
@@ -19200,11 +18822,11 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "## Summary - refactor `ResNetModel` to use `@capture_outputs` for hidden-state collection - register `_can_record_outputs` on `ResNetPreTrainedModel` with `ResNetStage` - switch `ResNetForImageClassification` and `ResNetBackbone` to `@can_\u2026",
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-    "cluster_id": "cluster-43979-28",
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     "conversation_url": "https://github.com/huggingface/transformers/pull/44007",
     "created_at": "2026-02-15T07:26:52Z",
@@ -19274,11 +18896,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `codegen` model as per #43979 cc @molbap <img width=\"843\" height=\"445\" alt=\"Screenshot 2026-02-15 at 5 24 52 AM\" src=\"https://github.com/user-attachments/assets/d5aeb711-96a7-4fd8-af7b-0aeac23eeeb1\" /> 2 tests are bei\u2026",
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     "created_at": "2026-02-14T23:56:18Z",
@@ -19324,11 +18944,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `upernet` model as per #43979 cc @molbap <img width=\"856\" height=\"457\" alt=\"Screenshot 2026-02-15 at 4 51 03 AM\" src=\"https://github.com/user-attachments/assets/5dc478d7-d708-4296-a86b-c3bb252d0325\" />",
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@@ -19350,11 +18968,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the`univnet` model as per #43979 cc @molbap <img width=\"848\" height=\"462\" alt=\"Screenshot 2026-02-15 at 4 19 00 AM\" src=\"https://github.com/user-attachments/assets/75848429-b9ff-49b3-a028-645aa67fc2ad\" />",
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     "created_at": "2026-02-14T22:50:39Z",
@@ -19376,11 +18992,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `vision_text_dual_encoder` model issue as per #43979 cc @molbap <img width=\"876\" height=\"292\" alt=\"Screenshot 2026-02-15 at 4 09 07 AM\" src=\"https://github.com/user-attachments/assets/11147a56-993b-4abc-b07a-ec739a53d\u2026",
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@@ -19426,11 +19040,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "This PR refactors the `timm_backbone` model issue as per #43979 cc @molbap <img width=\"856\" height=\"423\" alt=\"Screenshot 2026-02-15 at 4 10 15 AM\" src=\"https://github.com/user-attachments/assets/26237c3e-7b66-4f0d-a8b5-ffad6ee7c673\" />",
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     "created_at": "2026-02-14T22:12:30Z",
@@ -19452,11 +19064,9 @@
     "author_association": "FIRST_TIMER",
     "body_excerpt": "# What does this PR do? This PR migrates the **RegNet** model to the standardized output collection interface as part of the ongoing refactoring effort in issue #43979. Specifically: - Adds the `_can_record_outputs` dictionary to `RegNetPr\u2026",
     "changed_files": 1,
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     "created_at": "2026-02-14T19:57:54Z",
@@ -19478,9 +19088,9 @@
     "author_association": "FIRST_TIME_CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? Refactors FNet and CVT output tracing to use the standardized decorators where appropriate. 1. FNet now uses @capture_outputs with _can_record_outputs to collect hidden states. 2. CVT keeps manual hidden-state colle\u2026",
     "changed_files": 2,
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@@ -19696,11 +19306,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
     "changed_files": 2,
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     "conversation_url": "https://github.com/huggingface/transformers/pull/43983",
     "created_at": "2026-02-13T17:52:45Z",
@@ -20620,11 +20228,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "@ydshieh This PR fixes failed case: `tests/models/exaone_moe/test_modeling_exaone_moe.py::ExaoneMoeIntegrationTest::test_model_logits`, pls help review, thx!",
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-      "cluster-43324-12"
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     "conversation_url": "https://github.com/huggingface/transformers/pull/43938",
     "created_at": "2026-02-12T09:16:04Z",
@@ -20646,11 +20252,9 @@
     "author_association": "CONTRIBUTOR",
     "body_excerpt": "@ydshieh , pls help review, thx!",
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-    "cluster_id": "cluster-43324-12",
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-      "cluster-43324-12"
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@@ -22467,9 +22067,11 @@
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     "state": "closed",
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+  },
+  {
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+    "author": "Aakash0440",
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+    "body_excerpt": "When passing a batched tensor (B x T x C x H x W) directly to AutoVideoProcessor, the processor incorrectly adds extra singleton dimensions, returning a tensor of shape: 1 x 1 x B x T x C x H x W instead of the expected: B x T x C x H x W\u2026",
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+  {
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+    "author": "antznette1",
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+    "body_excerpt": "## Summary Improve the UX of `transformers serve` when serving dependencies are not installed by raising an actionable `ImportError` that lists the missing packages and provides copy/pastable installation commands. ## What changed - Update\u2026",
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+    "author": "xander1421",
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+    "body_excerpt": "## Summary `MusicgenForConditionalGeneration` inherits from `MusicgenPreTrainedModel` which has `config_class` implicitly set to `MusicgenDecoderConfig` via the type annotation `config: MusicgenDecoderConfig`. However, `MusicgenForConditio\u2026",
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+    "body_excerpt": "## Summary Improve HfArgumentParser boolean UX so `Optional[bool]` arguments can be passed as flags without an explicit value. ## What changed - Updated HfArgumentParser to treat `typing.Optional[bool]` `(Union[bool, None])` the same as `b\u2026",
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+    "body_excerpt": "Fixes #35532 ### What does this PR do? - Adds `encode()` to `RagTokenizer` by forwarding to `current_tokenizer`. - Adds `patch_token` / `patch_token_id` getters and setters, also forwarding to `current_tokenizer`. - Adds a lightweight regr\u2026",
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+    "review_comments_count": 0,
+    "state": "closed",
+    "title": "RagTokenizer: add encode and patch_token(_id) forwarding",
+    "updated_at": "2026-03-21T05:45:45Z"
   }
 ]