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brema76
/
vaccine_topic_it

Text Classification
Transformers
google-tensorflow TensorFlow
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use brema76/vaccine_topic_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use brema76/vaccine_topic_it with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="brema76/vaccine_topic_it")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("brema76/vaccine_topic_it")
    model = AutoModelForSequenceClassification.from_pretrained("brema76/vaccine_topic_it")
  • Notebooks
  • Google Colab
  • Kaggle
vaccine_topic_it
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  • 1 contributor
History: 23 commits
brema76's picture
brema76
Update README.md
8755e70 verified about 1 year ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    1.21 kB
    Update README.md about 1 year ago
  • config.json
    1.24 kB
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  • special_tokens_map.json
    112 Bytes
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  • tf_model.h5
    712 MB
    xet
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  • tf_model.preproc
    2.35 kB
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  • tokenizer.json
    1.96 MB
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  • tokenizer_config.json
    333 Bytes
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  • vocab.txt
    996 kB
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