Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Instructions to use RAG-Gym/Direct-MedQA-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/Direct-MedQA-DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "RAG-Gym/Direct-MedQA-DPO") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59d94d450b08b58871733234acbe229a21d78a39f79f5fe56c7f27c853d01370
- Size of remote file:
- 6.39 kB
- SHA256:
- 9d0ad8f0cecff784ba65873e69c6bcb43485db001a2b5447e9e1af1bfb01147d
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