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StonyBrookNLP
/
teabreac-nt5-small

Transformers
PyTorch
t5
text2text-generation
question-answering, multi-step-reasoning, multi-hop-reasoning
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use StonyBrookNLP/teabreac-nt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StonyBrookNLP/teabreac-nt5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("StonyBrookNLP/teabreac-nt5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("StonyBrookNLP/teabreac-nt5-small")
  • Notebooks
  • Google Colab
  • Kaggle
teabreac-nt5-small
309 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Harsh Trivedi
update.
2201195 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.89 kB
    update. over 3 years ago
  • added_tokens.json
    1.72 kB
    update. over 3 years ago
  • config.json
    1.51 kB
    update. over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    308 MB
    xet
    update. over 3 years ago
  • special_tokens_map.json
    225 Bytes
    update. over 3 years ago
  • spiece.model
    792 kB
    xet
    update. over 3 years ago
  • tokenizer_config.json
    2.42 kB
    update. over 3 years ago