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sprx7767
/
chandassu-recognition

Text Classification
Transformers
Safetensors
Telugu
chandassu_poem_cnn
feature-extraction
telugu
poetry
poetic-meter
cnn
eight-class
custom_code
Model card Files Files and versions
xet
Community

Instructions to use sprx7767/chandassu-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sprx7767/chandassu-recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sprx7767/chandassu-recognition", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sprx7767/chandassu-recognition", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chandassu-recognition / byt5
874 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
sprx7767's picture
sprx7767
feat: enable ByT5 Auto loading
f837b16 verified 8 days ago
  • LICENSES
    feat: add final ByT5 model 8 days ago
  • CITATION.cff
    613 Bytes
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  • LICENSE
    14 kB
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  • NOTICE
    696 Bytes
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  • README.md
    699 Bytes
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  • config.json
    4.17 kB
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  • encoder_config.json
    2.11 kB
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  • hf_model.py
    8.1 kB
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  • manifest.json
    682 Bytes
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  • metadata.json
    570 kB
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  • model.safetensors
    873 MB
    xet
    feat: add final ByT5 model 8 days ago
  • tokenizer_config.json
    199 Bytes
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  • vocabulary.json
    67 Bytes
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