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wtarit
/
nllb-600M-th-en

Transformers
PyTorch
English
Thai
m2m_100
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use wtarit/nllb-600M-th-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wtarit/nllb-600M-th-en with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("wtarit/nllb-600M-th-en")
    model = AutoModelForSeq2SeqLM.from_pretrained("wtarit/nllb-600M-th-en", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-600M-th-en
2.49 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
wtarit's picture
wtarit
Create README.md
226f02c about 3 years ago
  • .gitattributes
    1.53 kB
    Upload tokenizer about 3 years ago
  • README.md
    1.25 kB
    Create README.md about 3 years ago
  • config.json
    886 Bytes
    Upload M2M100ForConditionalGeneration about 3 years ago
  • generation_config.json
    154 Bytes
    Upload M2M100ForConditionalGeneration about 3 years ago
  • pytorch_model.bin
    2.47 GB
    xet
    Upload M2M100ForConditionalGeneration about 3 years ago
  • special_tokens_map.json
    3.55 kB
    Upload tokenizer about 3 years ago
  • tokenizer.json
    17.3 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    556 Bytes
    Upload tokenizer about 3 years ago