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X-Wang
/
pruned-mt5-small

Transformers
PyTorch
Japanese
Chinese
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community
9

Instructions to use X-Wang/pruned-mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use X-Wang/pruned-mt5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("X-Wang/pruned-mt5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("X-Wang/pruned-mt5-small", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pruned-mt5-small
346 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 170 commits
X-Wang's picture
X-Wang
Update README.md
89b7d23 about 3 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 about 3 years ago
  • README.md
    3.48 kB
    Update README.md about 3 years ago
  • config.json
    798 Bytes
    Upload MT5ForConditionalGeneration about 3 years ago
  • generation_config.json
    197 Bytes
    Update generation_config.json about 3 years ago
  • new2old.txt
    250 kB
    Upload new2old.txt about 3 years ago
  • pytorch_model.bin
    342 MB
    xet
    Upload MT5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    74 Bytes
    Upload tokenizer about 3 years ago
  • spiece.model
    928 kB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.85 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    303 Bytes
    Upload tokenizer about 3 years ago
  • training_args.bin
    5.5 kB
    xet
    Training in progress, step 1000 about 3 years ago