Instructions to use Ridreb05/project-amaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ridreb05/project-amaze with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ridreb05/project-amaze", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
-
Upload assets/reward_curve.png with huggingface_hub
Verified signature99f48c6 -
Upload training_log.json with huggingface_hub
Verified signature4044a03 -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster5cdc8e1 -
Upload assets/reward_curve.png with huggingface_hub
Verified signaturef9d7370 -
Upload training_log.json with huggingface_hub
Verified signature9822c82 -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x fasterb6f2895 -
Upload assets/reward_curve.png with huggingface_hub
Verified signature02b49bb -
Upload training_log.json with huggingface_hub
Verified signature5862b3c -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x fasterc086cbe -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster963ed33 -
initial commit
Verified signature2a5765a