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brain-bzh
/
reve-small

Feature Extraction
Transformers
Safetensors
PyTorch
reve
eeg
neuroscience
foundation-model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use brain-bzh/reve-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use brain-bzh/reve-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="brain-bzh/reve-small", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("brain-bzh/reve-small", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
reve-small
50.7 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
jonathan-lys's picture
jonathan-lys
Align model card with reve-base/reve-large (license section, sources, layout)
3565bdc verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • LICENSE
    17.8 kB
    Add REVE-small (4-layer) encoder from tkhieu/reve-small 6 days ago
  • README.md
    4.1 kB
    Align model card with reve-base/reve-large (license section, sources, layout) 6 days ago
  • config.json
    427 Bytes
    Add REVE-small (4-layer) encoder from tkhieu/reve-small 6 days ago
  • configuration_reve.py
    769 Bytes
    Add REVE-small (4-layer) encoder from tkhieu/reve-small 6 days ago
  • model.safetensors
    50.7 MB
    xet
    Add REVE-small (4-layer) encoder from tkhieu/reve-small 6 days ago
  • modeling_reve.py
    16.1 kB
    Add REVE-small (4-layer) encoder from tkhieu/reve-small 6 days ago