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BEE-spoke-data
/
roberta-large-title2genre

Text Classification
Transformers
Safetensors
roberta
book
genre
book title
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use BEE-spoke-data/roberta-large-title2genre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BEE-spoke-data/roberta-large-title2genre with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="BEE-spoke-data/roberta-large-title2genre")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("BEE-spoke-data/roberta-large-title2genre")
    model = AutoModelForSequenceClassification.from_pretrained("BEE-spoke-data/roberta-large-title2genre")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-title2genre
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
pszemraj's picture
pszemraj
Super-squash branch 'main' using huggingface_hub
71cb97d verified 5 months ago
  • .gitattributes
    1.52 kB
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  • README.md
    2.2 kB
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  • all_results.json
    395 Bytes
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  • config.json
    1.91 kB
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  • eval_results.json
    222 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    1.42 GB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    351 Bytes
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  • train_results.json
    193 Bytes
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  • trainer_state.json
    5.55 kB
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  • vocab.json
    798 kB
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