Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Instructions to use RAG-Gym/Direct-HotpotQA-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/Direct-HotpotQA-DPO 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/Direct-HotpotQA-DPO") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2656565c9dea1d9353eb5695b7662e4bed7999eb7618cdce44a5c9d12fc9882
- Size of remote file:
- 6.39 kB
- SHA256:
- 1c760945b668b9a3e4fc66315cdd833a497c71380f163c2c05cc76057ee3d492
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