Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Instructions to use RAG-Gym/RAG-HotpotQA-PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/RAG-HotpotQA-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/RAG-HotpotQA-PRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d6bfc3fbd3aa0a183a0ccba4c3aa8d5fa652e99029f5d45774fbf2fc42bd2fc
- Size of remote file:
- 5.75 kB
- SHA256:
- a7ca457c7450eeca5ef4897fd2532544830edbdd9db5e3c065afab574e7ff4e0
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