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divers
/
flan-large-req-extractor-seprator

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

Instructions to use divers/flan-large-req-extractor-seprator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use divers/flan-large-req-extractor-seprator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("divers/flan-large-req-extractor-seprator")
    model = AutoModelForSeq2SeqLM.from_pretrained("divers/flan-large-req-extractor-seprator")
  • Notebooks
  • Google Colab
  • Kaggle
flan-large-req-extractor-seprator
3.14 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
tntchack's picture
tntchack
Create README.md
a6993a5 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • README.md
    676 Bytes
    Create README.md almost 3 years ago
  • config.json
    788 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • pytorch_model.bin
    3.13 GB
    xet
    Training in progress, epoch 10 almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    Training in progress, epoch 0 almost 3 years ago
  • spiece.model
    792 kB
    xet
    Training in progress, epoch 0 almost 3 years ago
  • tokenizer.json
    2.42 MB
    Training in progress, epoch 0 almost 3 years ago
  • tokenizer_config.json
    2.35 kB
    Training in progress, epoch 0 almost 3 years ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, epoch 2 almost 3 years ago