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mongrz
/
sentiment_class6

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mongrz/sentiment_class6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mongrz/sentiment_class6 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mongrz/sentiment_class6")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mongrz/sentiment_class6")
    model = AutoModelForSequenceClassification.from_pretrained("mongrz/sentiment_class6", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment_class6
503 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mongrz's picture
mongrz
Update README.md
bd835c3 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.92 kB
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  • config.json
    938 Bytes
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  • merges.txt
    556 kB
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  • model.safetensors
    498 MB
    xet
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  • special_tokens_map.json
    144 Bytes
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  • tokenizer.json
    3.69 MB
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  • tokenizer_config.json
    1.23 kB
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  • training_args.bin
    5.24 kB
    xet
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  • vocab.json
    907 kB
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