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Ragab167
/
m2m_translation_v

Transformers
Safetensors
m2m_100
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use Ragab167/m2m_translation_v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ragab167/m2m_translation_v with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Ragab167/m2m_translation_v")
    model = AutoModelForSeq2SeqLM.from_pretrained("Ragab167/m2m_translation_v")
  • Notebooks
  • Google Colab
  • Kaggle
m2m_translation_v
1.94 GB
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  • 1 contributor
History: 3 commits
Ragab167's picture
Ragab167
Upload tokenizer
9d085e1 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload M2M100ForConditionalGeneration about 2 years ago
  • added_tokens.json
    2.01 kB
    Upload tokenizer about 2 years ago
  • config.json
    931 Bytes
    Upload M2M100ForConditionalGeneration about 2 years ago
  • generation_config.json
    228 Bytes
    Upload M2M100ForConditionalGeneration about 2 years ago
  • model.safetensors
    1.94 GB
    xet
    Upload M2M100ForConditionalGeneration about 2 years ago
  • sentencepiece.bpe.model
    2.42 MB
    xet
    Upload tokenizer about 2 years ago
  • special_tokens_map.json
    1.56 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    19.8 kB
    Upload tokenizer about 2 years ago
  • vocab.json
    3.71 MB
    Upload tokenizer about 2 years ago