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Mar-C
/
TwitterSentiment

Fill-Mask
Transformers
google-tensorflow TensorFlow
bert
Model card Files Files and versions
xet
Community

Instructions to use Mar-C/TwitterSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mar-C/TwitterSentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Mar-C/TwitterSentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Mar-C/TwitterSentiment")
    model = AutoModelForMaskedLM.from_pretrained("Mar-C/TwitterSentiment")
  • Notebooks
  • Google Colab
  • Kaggle
TwitterSentiment
443 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Mar-C's picture
Mar-C
Upload tf_model.h5 with git-lfs
62703ec over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    1.06 kB
    Upload config.json over 4 years ago
  • tf_model.h5
    443 MB
    xet
    Upload tf_model.h5 with git-lfs over 4 years ago