Instructions to use 0x1202/df895d50-0746-49ac-a347-c636f4f7edc4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/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, "0x1202/df895d50-0746-49ac-a347-c636f4f7edc4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21d0e95630b567387097077d3a17e96b7f3ded04ed579425798b0116bf4bdfac
- Size of remote file:
- 671 MB
- SHA256:
- 05de0566c44813ae794f1ccab898391101524e7d839f41a7951b0a70e6fa0c47
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