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sgonzalezsilot
/
beto-twitter-depression-external-data

Fill-Mask
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use sgonzalezsilot/beto-twitter-depression-external-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgonzalezsilot/beto-twitter-depression-external-data with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="sgonzalezsilot/beto-twitter-depression-external-data")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/beto-twitter-depression-external-data")
    model = AutoModelForMaskedLM.from_pretrained("sgonzalezsilot/beto-twitter-depression-external-data")
  • Notebooks
  • Google Colab
  • Kaggle
beto-twitter-depression-external-data
440 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 43 commits
sgonzalezsilot's picture
sgonzalezsilot
Training in progress, step 21000
07c6622 about 3 years ago
  • runs
    Training in progress, step 21000 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 3 years ago
  • config.json
    994 Bytes
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    Training in progress, step 21000 about 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, step 500 about 3 years ago