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castorini
/
LiT5-Score-large

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use castorini/LiT5-Score-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use castorini/LiT5-Score-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("castorini/LiT5-Score-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("castorini/LiT5-Score-large")
  • Notebooks
  • Google Colab
  • Kaggle
LiT5-Score-large
3.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
manveertamber's picture
manveertamber
Upload 7 files
8807f5f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    776 Bytes
    Upload 7 files over 2 years ago
  • generation_config.json
    142 Bytes
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  • pytorch_model.bin
    3.13 GB
    xet
    Upload 7 files over 2 years ago
  • special_tokens_map.json
    1.79 kB
    Upload 7 files over 2 years ago
  • spiece.model
    792 kB
    xet
    Upload 7 files over 2 years ago
  • tokenizer.json
    1.39 MB
    Upload 7 files over 2 years ago
  • tokenizer_config.json
    2.11 kB
    Upload 7 files over 2 years ago