Instructions to use Sashavav/rag-resource-allocator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sashavav/rag-resource-allocator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sashavav/rag-resource-allocator", trust_remote_code=True) model = AutoModel.from_pretrained("Sashavav/rag-resource-allocator", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload ONNX exported Jina reranker bundle
Browse files- README.md +2 -2
- model.onnx +2 -2
- model.onnx_data +2 -2
README.md
CHANGED
|
@@ -17,5 +17,5 @@ This folder was exported from `outputs/checkpoint-50`.
|
|
| 17 |
|
| 18 |
## Export details
|
| 19 |
|
| 20 |
-
- ONNX opset:
|
| 21 |
-
- Exported at: 2026-05-
|
|
|
|
| 17 |
|
| 18 |
## Export details
|
| 19 |
|
| 20 |
+
- ONNX opset: 18
|
| 21 |
+
- Exported at: 2026-05-19T07:41:56.993491+00:00
|
model.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3261f038e4960be8a00476cc534dbd4c0fd656e1ade4c44e2747897f500d6a2b
|
| 3 |
+
size 1442939
|
model.onnx_data
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9276ba0ee631faa386a39e92cec152ff93cad5134906909076512fde496361c
|
| 3 |
+
size 2387316736
|