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Lolalb
/
MILA_BFD

Feature Extraction
Transformers
Safetensors
AMPLIFY
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Lolalb/MILA_BFD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Lolalb/MILA_BFD", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Lolalb/MILA_BFD", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MILA_BFD
473 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Lolalb's picture
Lolalb
Upload AMPLIFY
f3dcbc1 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload tokenizer 3 months ago
  • amplify.py
    18 kB
    Upload AMPLIFY 3 months ago
  • config.json
    938 Bytes
    Upload AMPLIFY 3 months ago
  • model.safetensors
    473 MB
    xet
    Upload AMPLIFY 3 months ago
  • rotary.py
    1.09 kB
    Upload AMPLIFY 3 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 3 months ago
  • tokenizer.json
    1.83 kB
    Upload tokenizer 3 months ago
  • tokenizer.py
    10.5 kB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    1.59 kB
    Upload tokenizer 3 months ago