runtime error

None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Traceback (most recent call last): File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 385, in cached_file resolved_file = hf_hub_download( File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 110, in _inner_fn validate_repo_id(arg_value) File "/home/user/.local/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 158, in validate_repo_id raise HFValidationError( huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'models/Abhilashvj/w2v-bert-2.0-malayalam-colab-CV16.0'. Use `repo_type` argument if needed. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/user/app/app.py", line 9, in <module> transcriber = pipeline("automatic-speech-recognition", model="models/Abhilashvj/w2v-bert-2.0-malayalam-colab-CV16.0") File "/home/user/.local/lib/python3.10/site-packages/transformers/pipelines/__init__.py", line 747, in pipeline resolved_config_file = cached_file( File "/home/user/.local/lib/python3.10/site-packages/transformers/utils/hub.py", line 450, in cached_file raise EnvironmentError( OSError: Incorrect path_or_model_id: 'models/Abhilashvj/w2v-bert-2.0-malayalam-colab-CV16.0'. Please provide either the path to a local folder or the repo_id of a model on the Hub.

Container logs: