Instructions to use VERSIL91/2d320ffd-a366-4f05-867b-4bd7cf2b982a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/2d320ffd-a366-4f05-867b-4bd7cf2b982a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "VERSIL91/2d320ffd-a366-4f05-867b-4bd7cf2b982a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7deb2d2febf3bb98084a5e8b44ecf312d83d1a9c5b619741958b1f0e236fe4fc
- Size of remote file:
- 83.9 MB
- SHA256:
- cb04f469f9766d85afd2b855346e3f4f189bb66296ff91068711c4ee1faa3da8
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