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hf-tiny-model-private
/
tiny-random-M2M100Model

Feature Extraction
Transformers
PyTorch
m2m_100
Model card Files Files and versions
xet
Community
1

Instructions to use hf-tiny-model-private/tiny-random-M2M100Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-M2M100Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-M2M100Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-M2M100Model")
    model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-M2M100Model")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-M2M100Model
14.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hf-transformers-bot's picture
hf-transformers-bot
Upload tiny models for M2M100Model
0eebece about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    757 Bytes
    Upload tiny models for M2M100Model about 3 years ago
  • pytorch_model.bin
    8.26 MB
    xet
    Upload tiny models for M2M100Model about 3 years ago
  • sentencepiece.bpe.model
    2.42 MB
    xet
    Upload tiny models for M2M100Model about 3 years ago
  • special_tokens_map.json
    1.56 kB
    Upload tiny models for M2M100Model about 3 years ago
  • tokenizer_config.json
    1.88 kB
    Upload tiny models for M2M100Model about 3 years ago
  • vocab.json
    3.71 MB
    Upload tiny models for M2M100Model about 3 years ago