Feature Extraction
Transformers
Safetensors
PyTorch
reve
eeg
neuroscience
foundation-model
custom_code
Eval Results (legacy)
Instructions to use brain-bzh/reve-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brain-bzh/reve-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="brain-bzh/reve-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brain-bzh/reve-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturedc2a075 -
Update README.md
Verified signature9d464c4 -
Upload LICENSE
Verified signature14560df
-
Rollback the add_time_patch method
Verified signaturefa9a216 -
Close https://huggingface.co/brain-bzh/reve-base/discussions/1
Verified signature039950f
-
Fix tied parameters error in transformers v5.0.0
Verified signatureca5181f
-
Update README.md
Verified signaturea415790
-
Update README.md
Verified signature8cf6ece
-
Update model card
Verified signaturecde5e6b -
Weights upload
Verified signature88f6d21 -
initial commit
Verified signature2512e09