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yuchenlin
/
LLM-fuser-770m

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

Instructions to use yuchenlin/LLM-fuser-770m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yuchenlin/LLM-fuser-770m with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("yuchenlin/LLM-fuser-770m")
    model = AutoModelForSeq2SeqLM.from_pretrained("yuchenlin/LLM-fuser-770m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLM-fuser-770m
1.57 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
yuchenlin's picture
yuchenlin
init commit
1028f01 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • all_results.json
    361 Bytes
    init commit about 3 years ago
  • config.json
    788 Bytes
    init commit about 3 years ago
  • eval_results.json
    185 Bytes
    init commit about 3 years ago
  • generation_config.json
    142 Bytes
    init commit about 3 years ago
  • pytorch_model.bin
    1.57 GB
    xet
    init commit about 3 years ago
  • special_tokens_map.json
    2.2 kB
    init commit about 3 years ago
  • spiece.model
    792 kB
    xet
    init commit about 3 years ago
  • tokenizer.json
    2.42 MB
    init commit about 3 years ago
  • tokenizer_config.json
    2.35 kB
    init commit about 3 years ago
  • train_results.json
    196 Bytes
    init commit about 3 years ago
  • trainer_state.json
    414 kB
    init commit about 3 years ago
  • training_args.bin
    5.37 kB
    xet
    init commit about 3 years ago