Instructions to use thaffggg/df895d50-0746-49ac-a347-c636f4f7edc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/df895d50-0746-49ac-a347-c636f4f7edc4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "thaffggg/df895d50-0746-49ac-a347-c636f4f7edc4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3786b4d420ee8484cfdf4bdfcbd2804329a0125ca0fde81191f3f25cfb83413a
- Size of remote file:
- 168 MB
- SHA256:
- 657ef76e0e38eed7d250ac9e58250d5c5ce78992e31b46b48a5b953be96917c6
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