Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Instructions to use RAG-Gym/Direct-HotpotQA-PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/Direct-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/Direct-HotpotQA-PRM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9069c7939e3c50a447ed1bb40caa8dc1bf4e9c88cc7e0ff161457c6f0633f60
- Size of remote file:
- 5.69 kB
- SHA256:
- 8fc14801c9f085a9806ee9f532e2a89fed07c9b81458906981f61be20543cd0d
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