Model upload and sharing¶
Starting with v2.2.2
, you can now upload and share your fine-tuned models with the community, using the CLI that’s built-in to the library.
First, create an account on https://huggingface.co/join. Then:
transformers-cli login
# log in using the same credentials as on huggingface.co
Upload your model:
transformers-cli upload ./path/to/pretrained_model/
# ^^ Upload folder containing weights/tokenizer/config
# saved via `.save_pretrained()`
transformers-cli upload ./config.json [--filename folder/foobar.json]
# ^^ Upload a single file
# (you can optionally override its filename, which can be nested inside a folder)
Your model will then be accessible through its identifier, a concatenation of your username and the folder name above:
"username/pretrained_model"
Anyone can load it from code:
tokenizer = AutoTokenizer.from_pretrained("username/pretrained_model")
model = AutoModel.from_pretrained("username/pretrained_model")
Finally, list all your files on S3:
transformers-cli s3 ls
# List all your S3 objects.
You can also delete files:
transformers-cli s3 rm …