Instructions to use czagnos/challenge_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use czagnos/challenge_adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("czagnos/challenge_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
-
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster0c52554 -
LoRA adapter upload
Verified signaturefed48ca
-
LoRA adapter upload
Verified signature3afce0e -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster494664d -
LoRA adapter upload
Verified signaturea48bf78
-
LoRA adapter upload
Verified signaturea9e152c -
LoRA adapter upload
Verified signature041d860 -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x faster8ea727d -
Upload model trained with Unsloth
Verified signatureUpload model trained with Unsloth 2x fastere9c8f67 -
Upload README.md with huggingface_hub
Verified signature390200b -
initial commit
Verified signaturee16bba5