Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Instructions to use RAG-Gym/CoT-HotpotQA-PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/CoT-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/CoT-HotpotQA-PRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dee2f4782e16e20e22c5930fb6d38661e1a9bb4eb4c5f9f0db7566b204848f9d
- Size of remote file:
- 5.69 kB
- SHA256:
- 63934e92af661e057289a22341f6659cca3a1abb737ca26a99e5c72538056aeb
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