Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Instructions to use RAG-Gym/ReSearch-MedQA-PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/ReSearch-MedQA-PRM with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "RAG-Gym/ReSearch-MedQA-PRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79aaf70126f2206d04909143c93fa3cda216de1a4fede0958198e3bf42484eed
- Size of remote file:
- 5.62 kB
- SHA256:
- f8f26c187e217afb89239c9e663c2c659562b96262fd4a5f478ce0c34ae37108
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