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SivilTaram
/
tapex-t5-small-lm-adapt

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

Instructions to use SivilTaram/tapex-t5-small-lm-adapt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SivilTaram/tapex-t5-small-lm-adapt with Transformers:

    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SivilTaram/tapex-t5-small-lm-adapt")
    model = AutoModelForSeq2SeqLM.from_pretrained("SivilTaram/tapex-t5-small-lm-adapt", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tapex-t5-small-lm-adapt
310 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Qian Liu
Upload config.json
8a72ac3 over 4 years ago
  • .gitattributes
    1.17 kB
    initial commit over 4 years ago
  • README.md
    21 Bytes
    initial commit over 4 years ago
  • config.json
    738 Bytes
    Upload config.json over 4 years ago
  • pytorch_model.bin
    308 MB
    xet
    Upload pytorch_model.bin over 4 years ago
  • special_tokens_map.json
    1.79 kB
    Upload special_tokens_map.json over 4 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer.json over 4 years ago
  • tokenizer_config.json
    2.14 kB
    Upload tokenizer_config.json over 4 years ago