runtime error

Exit code: 1. Reason: de file, you can pin a revision. Traceback (most recent call last): File "/home/user/app/app.py", line 5, in <module> pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True) File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 940, in pipeline framework, model = infer_framework_load_model( File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/pipelines/base.py", line 302, in infer_framework_load_model raise ValueError( ValueError: Could not load model deepseek-ai/DeepSeek-R1 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'>,). See the original errors: while loading with AutoModelForCausalLM, an error is thrown: Traceback (most recent call last): File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/pipelines/base.py", line 289, in infer_framework_load_model model = model_class.from_pretrained(model, **kwargs) File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 559, in from_pretrained return model_class.from_pretrained( File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3659, in from_pretrained config.quantization_config = AutoHfQuantizer.merge_quantization_configs( File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/quantizers/auto.py", line 173, in merge_quantization_configs quantization_config = AutoQuantizationConfig.from_dict(quantization_config) File "/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/transformers/quantizers/auto.py", line 97, in from_dict raise ValueError( ValueError: Unknown quantization type, got fp8 - supported types are: ['awq', 'bitsandbytes_4bit', 'bitsandbytes_8bit', 'gptq', 'aqlm', 'quanto', 'eetq', 'hqq', 'compressed-tensors', 'fbgemm_fp8', 'torchao', 'bitnet']

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