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:
- 0d9abe3bcfe7cf2b54c775c4c9add1f398ee665aac2875ee5ced8ee49a6e54e3
- Size of remote file:
- 6.78 kB
- SHA256:
- 0fc34d9ad420804fa1d56dfc857750fbae2e8518030be5a97d03830031141d68
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