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slone
/
bert-small-from-nllb-200-raw

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use slone/bert-small-from-nllb-200-raw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slone/bert-small-from-nllb-200-raw with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="slone/bert-small-from-nllb-200-raw")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("slone/bert-small-from-nllb-200-raw")
    model = AutoModel.from_pretrained("slone/bert-small-from-nllb-200-raw")
  • Notebooks
  • Google Colab
  • Kaggle
bert-small-from-nllb-200-raw
621 MB
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  • 1 contributor
History: 5 commits
cointegrated's picture
cointegrated
Upload tokenizer
a9a6562 over 2 years ago
  • .gitattributes
    1.57 kB
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  • config.json
    584 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    604 MB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    167 Bytes
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  • tokenizer.json
    17.3 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    36.5 kB
    Upload tokenizer over 2 years ago