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chanind
/
frame-semantic-transformer-large

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

Instructions to use chanind/frame-semantic-transformer-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chanind/frame-semantic-transformer-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("chanind/frame-semantic-transformer-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("chanind/frame-semantic-transformer-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
frame-semantic-transformer-large
2.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
chanind's picture
chanind
add tokenizer
348f581 about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • config.json
    1.47 kB
    add model about 4 years ago
  • pytorch_model.bin
    2.95 GB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    1.79 kB
    add tokenizer about 4 years ago
  • spiece.model
    792 kB
    xet
    add tokenizer about 4 years ago
  • tokenizer_config.json
    1.99 kB
    add tokenizer about 4 years ago