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yjmsvma
/
flant5-clause-classifier

Transformers
Safetensors
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use yjmsvma/flant5-clause-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yjmsvma/flant5-clause-classifier with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("yjmsvma/flant5-clause-classifier")
    model = AutoModelForSeq2SeqLM.from_pretrained("yjmsvma/flant5-clause-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
flant5-clause-classifier
311 MB
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  • 1 contributor
History: 7 commits
yjmsvma's picture
yjmsvma
Rename requirements(1).txt to requirements.txt
bf305cc verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload T5ForConditionalGeneration over 1 year ago
  • config.json
    1.56 kB
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  • generation_config.json
    142 Bytes
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  • handler.py
    1.16 kB
    Rename handler(1).py to handler.py over 1 year ago
  • model.safetensors
    308 MB
    xet
    Upload T5ForConditionalGeneration over 1 year ago
  • requirements.txt
    38 Bytes
    Rename requirements(1).txt to requirements.txt over 1 year ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer over 1 year ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer over 1 year ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer over 1 year ago