Instructions to use hiddenlayerr/champion-edge-rf-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiddenlayerr/champion-edge-rf-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hiddenlayerr/champion-edge-rf-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Delete readme.md
Verified signature682b923 -
Upload folder using huggingface_hub
Verified signature49bdcd9 -
Upload folder using huggingface_hub
Verified signature5947b02 -
Upload folder using huggingface_hub
Verified signature536209b
-
Update README.md
Verified signatureb98f5b4 -
Create README.md
Verified signaturefcc48da -
Create readme.md
Verified signature238c2df -
Upload folder using huggingface_hub
Verified signatureeb3c530 -
Delete config.json
Verified signature47aa8b0 -
Delete requirements.txt
Verified signaturee9a248d -
Delete random_forest_model.joblib
Verified signature86b204a -
Create config.json
Verified signature52fc620 -
Create requirements.txt
Verified signature3b9b844 -
Upload random_forest_model.joblib
Verified signature1661287 -
initial commit
Verified signature419ae70