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Dundalia
/
T5_HotPotQA_reader

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

Instructions to use Dundalia/T5_HotPotQA_reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dundalia/T5_HotPotQA_reader with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Dundalia/T5_HotPotQA_reader")
    model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/T5_HotPotQA_reader")
  • Notebooks
  • Google Colab
  • Kaggle
T5_HotPotQA_reader
245 MB
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  • 2 contributors
History: 2 commits
Davidai's picture
Davidai
Upload with huggingface_hub
ea487da over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    1.5 kB
    Upload with huggingface_hub over 3 years ago
  • pytorch_model.bin
    242 MB
    xet
    Upload with huggingface_hub over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload with huggingface_hub over 3 years ago
  • spiece.model
    792 kB
    xet
    Upload with huggingface_hub over 3 years ago
  • tokenizer.json
    2.42 MB
    Upload with huggingface_hub over 3 years ago
  • tokenizer_config.json
    2.55 kB
    Upload with huggingface_hub over 3 years ago