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:
- b5baf6c86fc2b7bea6eca97cbf6238ac16a86008e7c5f8bf29686fbbe347432e
- Size of remote file:
- 604 MB
- SHA256:
- 73f7cd81a88910ff7c01818299e4bf909139c6aa39d4182f34875a84de708617
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