westlake-repl-saprot-650m-pdb

westlake-repl/SaProt_650M_PDB powered by Hugging Face Inference Toolkit

• Original Model Card
• fill-mask Task on Hugging Face

You can use cURL or any REST Client to send a request to the AzureML endpoint with your AzureML token.

curl <AZUREML_ENDPOINT_URL> \
    -X POST \
    -H "Authorization: Bearer <AZUREML_TOKEN>" \
    -H "Content-Type: application/json" \
    -d '{"inputs":"The answer to the universe is undefined."}'

• inputs (string): The text with masked tokens
• parameters (object):
  • top_k (integer): When passed, overrides the number of predictions to return.
  • targets (string[]): When passed, the model will limit the scores to the passed targets instead of looking up in the whole vocabulary. If the provided targets are not in the model vocab, they will be tokenized and the first resulting token will be used (with a warning, and that might be slower).

Check the full API Specification at the Hugging Face Inference documentation .