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entfane
/
distilbert-emotion-recognition

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

Instructions to use entfane/distilbert-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use entfane/distilbert-emotion-recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="entfane/distilbert-emotion-recognition")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("entfane/distilbert-emotion-recognition")
    model = AutoModelForSequenceClassification.from_pretrained("entfane/distilbert-emotion-recognition")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-emotion-recognition
269 MB
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  • 1 contributor
History: 5 commits
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entfane
Update README.md
73a3bcb verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.11 kB
    Update README.md over 1 year ago
  • config.json
    861 Bytes
    changed label namings over 1 year ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.23 kB
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  • vocab.txt
    232 kB
    Upload tokenizer over 1 year ago