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althabiti
/
VerdictGen

Transformers
PyTorch
google-tensorflow TensorFlow
JAX
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use althabiti/VerdictGen with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("althabiti/VerdictGen")
    model = AutoModelForSeq2SeqLM.from_pretrained("althabiti/VerdictGen", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • config.json
    1.48 kB
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  • flax_model.msgpack
    892 MB
    xet
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  • generation_config.json
    142 Bytes
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  • pytorch_model.bin
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  • special_tokens_map.json
    2.2 kB
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  • tf_model.h5
    1.09 GB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.41 kB
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