google-bert-bert-large-uncased-whole-word-masking
google-bert-bert-large-uncased-whole-word-masking
Version: 2
HuggingFace•Last updated May 2025
google-bert/bert-large-uncased-whole-word-masking powered by Hugging Face Inference Toolkit

Send Request

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."}'

Supported Parameters

  • 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 .
Model Specifications
LicenseApache-2.0
Last UpdatedMay 2025
PublisherHuggingFace
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