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dzinampini
/
api_endpoint_extractor

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dzinampini/api_endpoint_extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dzinampini/api_endpoint_extractor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dzinampini/api_endpoint_extractor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dzinampini/api_endpoint_extractor")
    model = AutoModelForSequenceClassification.from_pretrained("dzinampini/api_endpoint_extractor", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
api_endpoint_extractor / runs
11.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dzinampini's picture
dzinampini
Training in progress, step 3
9985a11 verified about 1 year ago
  • Jul09_09-24-59_c7a7fed6b7c2
    Training in progress, step 3 about 1 year ago
  • Jul09_09-31-31_c7a7fed6b7c2
    Training in progress, step 3 about 1 year ago