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cointegrated
/
SONAR-encoder-distilled-v0

Transformers
PyTorch
Safetensors
m2m_100
Model card Files Files and versions
xet
Community
1

Instructions to use cointegrated/SONAR-encoder-distilled-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cointegrated/SONAR-encoder-distilled-v0 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, M2M100Encoder
    
    tokenizer = AutoTokenizer.from_pretrained("cointegrated/SONAR-encoder-distilled-v0")
    model = M2M100Encoder.from_pretrained("cointegrated/SONAR-encoder-distilled-v0")
  • Notebooks
  • Google Colab
  • Kaggle
SONAR-encoder-distilled-v0
2.73 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
cointegrated's picture
cointegrated
Upload tokenizer
6d2c92e verified about 2 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 years ago
  • README.md
    5.17 kB
    Upload M2M100Encoder about 2 years ago
  • config.json
    847 Bytes
    Upload M2M100Encoder about 2 years ago
  • model.safetensors
    1.35 GB
    xet
    Upload M2M100Encoder about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.35 GB
    xet
    Upload M2M100Encoder about 2 years ago
  • sentencepiece.bpe.model
    4.85 MB
    xet
    Upload tokenizer about 2 years ago
  • special_tokens_map.json
    4.49 kB
    Upload tokenizer about 2 years ago
  • tokenizer.json
    17.3 MB
    xet
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    41.9 kB
    Upload tokenizer about 2 years ago