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gechim
/
metadata-cls-gemini

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use gechim/metadata-cls-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gechim/metadata-cls-gemini with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gechim/metadata-cls-gemini")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gechim/metadata-cls-gemini")
    model = AutoModelForSequenceClassification.from_pretrained("gechim/metadata-cls-gemini")
  • Notebooks
  • Google Colab
  • Kaggle
metadata-cls-gemini
542 MB
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  • 1 contributor
History: 2 commits
gechim's picture
gechim
End of training
696a561 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.34 kB
    End of training almost 2 years ago
  • added_tokens.json
    22 Bytes
    End of training almost 2 years ago
  • bpe.codes
    1.14 MB
    End of training almost 2 years ago
  • config.json
    1.05 kB
    End of training almost 2 years ago
  • model.safetensors
    540 MB
    xet
    End of training almost 2 years ago
  • special_tokens_map.json
    167 Bytes
    End of training almost 2 years ago
  • tokenizer_config.json
    1.17 kB
    End of training almost 2 years ago
  • training_args.bin
    5.05 kB
    xet
    End of training almost 2 years ago
  • vocab.txt
    895 kB
    End of training almost 2 years ago