| ```CODE: |
| # Use a pipeline as a high-level helper |
| from transformers import pipeline |
|
|
| pipe = pipeline("text-generation", model="ByteDance/Ouro-2.6B", trust_remote_code=True) |
| messages = [ |
| {"role": "user", "content": "Who are you?"}, |
| ] |
| pipe(messages) |
| ``` |
|
|
| ERROR: |
| Traceback (most recent call last): |
| File "/tmp/ByteDance_Ouro-2.6B_0F7FItQ.py", line 30, in <module> |
| pipe(messages) |
| ~~~~^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 325, in __call__ |
| return super().__call__(Chat(text_inputs), **kwargs) |
| ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1467, in __call__ |
| return self.run_single(inputs, preprocess_params, forward_params, postprocess_params) |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1474, in run_single |
| model_outputs = self.forward(model_inputs, **forward_params) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1374, in forward |
| model_outputs = self._forward(model_inputs, **forward_params) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 432, in _forward |
| output = self.model.generate(input_ids=input_ids, attention_mask=attention_mask, **generate_kwargs) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context |
| return func(*args, **kwargs) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/generation/utils.py", line 2564, in generate |
| result = decoding_method( |
| self, |
| ...<5 lines>... |
| **model_kwargs, |
| ) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/generation/utils.py", line 2784, in _sample |
| outputs = self(**model_inputs, return_dict=True) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl |
| return self._call_impl(*args, **kwargs) |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl |
| return forward_call(*args, **kwargs) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper |
| output = func(self, *args, **kwargs) |
| File "/tmp/.cache/huggingface/modules/transformers_modules/ByteDance/Ouro_hyphen_2_dot_6B/3d18014259a08ee6fda0827f589bd3d8baed2438/modeling_ouro.py", line 477, in forward |
| outputs, hidden_states_list, gate_list = self.model( |
| ~~~~~~~~~~^ |
| input_ids=input_ids, |
| ^^^^^^^^^^^^^^^^^^^^ |
| ...<6 lines>... |
| **kwargs, |
| ^^^^^^^^^ |
| ) |
| ^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl |
| return self._call_impl(*args, **kwargs) |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl |
| return forward_call(*args, **kwargs) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/utils/generic.py", line 1064, in wrapper |
| outputs = func(self, *args, **kwargs) |
| File "/tmp/.cache/huggingface/modules/transformers_modules/ByteDance/Ouro_hyphen_2_dot_6B/3d18014259a08ee6fda0827f589bd3d8baed2438/modeling_ouro.py", line 382, in forward |
| hidden_states = decoder_layer( |
| hidden_states, |
| ...<7 lines>... |
| **kwargs, |
| ) |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/modeling_layers.py", line 94, in __call__ |
| return super().__call__(*args, **kwargs) |
| ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl |
| return self._call_impl(*args, **kwargs) |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl |
| return forward_call(*args, **kwargs) |
| File "/tmp/.cache/huggingface/modules/transformers_modules/ByteDance/Ouro_hyphen_2_dot_6B/3d18014259a08ee6fda0827f589bd3d8baed2438/modeling_ouro.py", line 228, in forward |
| hidden_states, _ = self.self_attn( |
| ~~~~~~~~~~~~~~^ |
| hidden_states=hidden_states, |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| ...<6 lines>... |
| **kwargs, |
| ^^^^^^^^^ |
| ) |
| ^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl |
| return self._call_impl(*args, **kwargs) |
| ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl |
| return forward_call(*args, **kwargs) |
| File "/tmp/.cache/huggingface/modules/transformers_modules/ByteDance/Ouro_hyphen_2_dot_6B/3d18014259a08ee6fda0827f589bd3d8baed2438/modeling_ouro.py", line 156, in forward |
| key_states, value_states = past_key_value.update(key_states, value_states, current_ut * self.config.num_hidden_layers + self.layer_idx, cache_kwargs) |
| ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ |
| File "/tmp/.cache/uv/environments-v2/a6d7d863ff8e79d1/lib/python3.13/site-packages/transformers/cache_utils.py", line 776, in update |
| keys, values = self.layers[layer_idx].update(key_states, value_states, cache_kwargs) |
| ~~~~~~~~~~~^^^^^^^^^^^ |
| IndexError: list index out of range |
|
|
