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 training_args.bin from CodeTriad/mistral_base_dpo_new_1: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/CodeTriad/mistral_base_dpo_new_1/resolve/main/training_args.bin
- Command line
-
hf download hf://CodeTriad/mistral_base_dpo_new_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodeTriad/mistral_base_dpo_new_1/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- b1ba54ee8094712de8a633bcab7aaab2a1424cac741c6c87723e96b388941267
- Size of remote file:
- 4.98 kB
- SHA256:
- 8324da8a0f06738e8190e6f34f14bb0e2c66bc66f4aeed1e6ac690274b2fff9b
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