Instructions to use eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633 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, "eeeebbb2/052e813f-70b6-4038-adb7-a826a5f24633") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd5d830ccc1098701cd21304d15e0d2b1dee9f0a3483085b1998506c814be149
- Size of remote file:
- 671 MB
- SHA256:
- 5cf92819c598c0f176d87f4df9c4e0c28e10ceafdf2b928e48456d66e8c369ee
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