Upload tencent_Hunyuan-0.5B-Instruct_0.txt with huggingface_hub
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tencent_Hunyuan-0.5B-Instruct_0.txt
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1271, in from_pretrained
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config_class = CONFIG_MAPPING[config_dict["model_type"]]
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~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 966, in __getitem__
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raise KeyError(key)
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KeyError: 'hunyuan_v1_dense'
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During handling of the above exception, another exception occurred:
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Traceback (most recent call last):
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File "/tmp/tencent_Hunyuan-0.5B-Instruct_039Ya9m.py", line 19, in <module>
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pipe = pipeline("text-generation", model="tencent/Hunyuan-0.5B-Instruct")
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File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 909, in pipeline
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config = AutoConfig.from_pretrained(
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model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs
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)
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File "/tmp/.cache/uv/environments-v2/2a6a6f0875dd3018/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1273, in from_pretrained
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raise ValueError(
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...<8 lines>...
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)
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ValueError: The checkpoint you are trying to load has model type `hunyuan_v1_dense` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
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You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
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