Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Instructions to use RAG-Gym/Direct-HotpotQA-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/Direct-HotpotQA-SFT 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-SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 623f4b0d3f16da1f862792043fa6407ed4bfe01d5dd5832c6aa5dee93aabf59e
- Size of remote file:
- 5.82 kB
- SHA256:
- 97694f9849c616e47c40311774df52e03b3a809fba3ee1cc70aa3fcb6f8c7815
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