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

  • Libraries
  • Transformers

    How to use tkhieu/reve-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="tkhieu/reve-small", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("tkhieu/reve-small", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
reve-small
50.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
tkhieu's picture
tkhieu
Add REVE-small (4-layer encoder, epoch 15)
2a084f8 verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • LICENSE
    17.8 kB
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago
  • README.md
    3.23 kB
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago
  • config.json
    427 Bytes
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago
  • configuration_reve.py
    769 Bytes
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago
  • model.safetensors
    50.7 MB
    xet
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago
  • modeling_reve.py
    16.1 kB
    Add REVE-small (4-layer encoder, epoch 15) 6 days ago