Instructions to use kastan/sf_medium_bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kastan/sf_medium_bf16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "kastan/sf_medium_bf16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed378b03ae95f39b054e94ddb4dec7585569b9c7539d21f7178245d29e402299
- Size of remote file:
- 627 Bytes
- SHA256:
- 593f43b0c83adb27a2db37a6418c2ef12a213bbc2a02f2dc881de6846a69a931
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