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KRB1975
/
mt-ja-mr-small100

Translation
Transformers
PyTorch
Japanese
Marathi
m2m_100
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use KRB1975/mt-ja-mr-small100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KRB1975/mt-ja-mr-small100 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("translation", model="KRB1975/mt-ja-mr-small100")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("KRB1975/mt-ja-mr-small100")
    model = AutoModelForSeq2SeqLM.from_pretrained("KRB1975/mt-ja-mr-small100")
  • Notebooks
  • Google Colab
  • Kaggle
mt-ja-mr-small100
395 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
KRB1975's picture
KRB1975
Update README.md
f097fb6 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.57 kB
    Update README.md about 1 year ago
  • config.json
    821 Bytes
    Upload M2M100ForConditionalGeneration about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    389 MB
    xet
    Upload M2M100ForConditionalGeneration about 1 year ago
  • sentencepiece.bpe.model
    2.42 MB
    xet
    Upload tokenizer about 1 year ago
  • special_tokens_map.json
    1.56 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.89 kB
    Upload tokenizer about 1 year ago
  • vocab.json
    3.71 MB
    Upload tokenizer about 1 year ago