Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Instructions to use RAG-Gym/ReSearch-MedQA-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/ReSearch-MedQA-SFT 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/ReSearch-MedQA-SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8294ad1efd467c525dc5ccf48ac022690db66160c7f2670037ac66095c295e33
- Size of remote file:
- 17.2 MB
- SHA256:
- e6e6a9648bb3eee2298f7f6cf2e2e57ece1460173a9e6c5b5bef0436583e8fb9
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