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research-backup
/
mt5-base-trimmed-de

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use research-backup/mt5-base-trimmed-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use research-backup/mt5-base-trimmed-de with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-de")
    model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-de")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-base-trimmed-de
1.65 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
asahi417's picture
asahi417
commit files to HF hub
23a48f2 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.51 kB
    commit files to HF hub about 3 years ago
  • config.json
    1.48 kB
    Upload MT5ForConditionalGeneration about 3 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration about 3 years ago
  • pytorch_model.bin
    1.64 GB
    xet
    Upload MT5ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    74 Bytes
    Upload tokenizer about 3 years ago
  • spiece.model
    4.31 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer.json
    8.97 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    484 Bytes
    Upload tokenizer about 3 years ago