Instructions to use CodeTriad/mistral_base_dpo_new_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CodeTriad/mistral_base_dpo_new_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "CodeTriad/mistral_base_dpo_new_1") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from CodeTriad/mistral_base_dpo_new_1: direct link, hf CLI and curl.
- Browser
- Download file 738 MB
-
https://huggingface.co/CodeTriad/mistral_base_dpo_new_1/resolve/main/optimizer.pt
- Command line
-
hf download hf://CodeTriad/mistral_base_dpo_new_1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeTriad/mistral_base_dpo_new_1/resolve/main/optimizer.pt
738 MB
- Xet hash:
- 1bbfce2bc1818aee23243e9b424ad27dd55e3539b4f1c812e887b62d89d34575
- Size of remote file:
- 738 MB
- SHA256:
- 120103c379f4203f751394a372c63216e5bfeaa1154b7358c593b916289c19c1
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