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graphistry
/
twitter-relevancy-filter

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use graphistry/twitter-relevancy-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use graphistry/twitter-relevancy-filter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="graphistry/twitter-relevancy-filter")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("graphistry/twitter-relevancy-filter")
    model = AutoModelForSequenceClassification.from_pretrained("graphistry/twitter-relevancy-filter")
  • Notebooks
  • Google Colab
  • Kaggle
twitter-relevancy-filter
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  • 1 contributor
History: 27 commits
tanmoyio's picture
tanmoyio
Create README.md
8a7f6fa over 2 years ago
  • .gitattributes
    1.62 kB
    Upload tokenizer over 2 years ago
  • README.md
    37 Bytes
    Create README.md over 2 years ago
  • config.json
    770 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • model.safetensors
    471 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.42 kB
    Upload tokenizer over 2 years ago
  • unigram.json
    14.8 MB
    xet
    Upload tokenizer over 2 years ago