Instructions to use duyphu/d03b1aa7-3120-4eb3-9690-a45cc19e5306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/d03b1aa7-3120-4eb3-9690-a45cc19e5306 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, "duyphu/d03b1aa7-3120-4eb3-9690-a45cc19e5306") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 240f8ef932002dc0837659e774424f7cf09b0013f533a5ade9b57888674e9e52
- Size of remote file:
- 6.78 kB
- SHA256:
- dcf09275280af842592f13d377006adbd735e3179d35b0feb59dcfa7c19c1f6f
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