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Hariharan05
/
ragone

Text Classification
Transformers
Safetensors
English
Model card Files Files and versions
xet
Community

Instructions to use Hariharan05/ragone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hariharan05/ragone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hariharan05/ragone")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Hariharan05/ragone", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ragone
302 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
Hariharan05's picture
Hariharan05
Update README.md
8bf0c2c verified 6 days ago
  • __pycache__
    Upload RAGOne model and inference package 7 days ago
  • encoder
    Upload RAGOne model and inference package 7 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    11.9 kB
    Update README.md 6 days ago
  • ragone.py
    6.62 kB
    Upload RAGOne model and inference package 7 days ago
  • ragone_config.json
    702 Bytes
    Upload RAGOne model and inference package 7 days ago
  • requirements.txt
    47 Bytes
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  • scorer.pt
    791 kB
    xet
    Upload RAGOne model and inference package 7 days ago
  • tokenizer.json
    3.58 MB
    Upload RAGOne model and inference package 7 days ago
  • tokenizer_config.json
    380 Bytes
    Upload RAGOne model and inference package 7 days ago