Having the same issue with ‘sentence-transformers/all-mpnet-base-v2’. I saw there was an earlier thread on this too
Weirdly, I’m only getting it when trying to run batch on sagemaker
where I do it locally it works fine eg
model = AutoModel.from_pretrained(‘sentence-transformers/paraphrase-distilroberta-base-v2’)
and
model = AutoModel.from_pretrained(‘sentence-transformers/all-mpnet-base-v2’)
Checking the cloud log
This is an experimental beta features, which allows downloading model from the Hugging Face Hub on start up. It loads the model defined in the env var
HF_MODEL_ID
Then immediately followed by the 403 error