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mrm8488
/
t5-base-finetuned-math-qa-test

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

Instructions to use mrm8488/t5-base-finetuned-math-qa-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrm8488/t5-base-finetuned-math-qa-test with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-math-qa-test")
    model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-math-qa-test")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-finetuned-math-qa-test
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History: 11 commits
system's picture
system HF Staff
Update training_args.bin
e7ae631 almost 6 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • config.json
    1.23 kB
    Update config.json almost 6 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.19 GB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    1.79 kB
    Update special_tokens_map.json almost 6 years ago
  • spiece.model
    792 kB
    Update spiece.model almost 6 years ago
  • tokenizer_config.json
    25 Bytes
    Update tokenizer_config.json almost 6 years ago
  • training_args.bin
    1.05 kB
    xet
    Update training_args.bin almost 6 years ago