The script provide seem is for evaluation but not training?
And seem the evaluation script is not working too?
File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\requests\models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/path_of_llm/resolve/main/vocab.json
File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\transformers\tokenization_utils_base.py", line 1800, in from_pretrained
resolved_vocab_files[file_id] = cached_file(
File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\transformers\utils\hub.py", line 433, in cached_file
raise EnvironmentError(
OSError: path_of_llm is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo with use_auth_token or log in with huggingface-cli login and pass use_auth_token=True.
`
The script provide seem is for evaluation but not training?
And seem the evaluation script is not working too?
File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\requests\models.py", line 1021, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/path_of_llm/resolve/main/vocab.json
` eval_fewshot.py", line 167, in get_model
File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\transformers\tokenization_utils_base.py", line 1800, in from_pretrained resolved_vocab_files[file_id] = cached_file( File "C:\Users\USER\miniconda3\envs\nlp_env\lib\site-packages\transformers\utils\hub.py", line 433, in cached_file raise EnvironmentError( OSError: path_of_llm is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' If this is a private repository, make sure to pass a token having permission to this repo with
use_auth_token
or log in withhuggingface-cli login
and passuse_auth_token=True
. `