Instructions to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721 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, "romainnn/2da3d576-a2e0-43ca-ab56-ba6262085721") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceb1bf1598553ab0ddc39adf34a41a0980dd891962c187e24eadf6c3207a4569
- Size of remote file:
- 6.78 kB
- SHA256:
- 080b6183c5eb5d545c74bb2982ebf0264eca817e04f7504bbde33d9863769004
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