Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Instructions to use RAG-Gym/ReSearch-HotpotQA-PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/ReSearch-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/ReSearch-HotpotQA-PRM") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from RAG-Gym/ReSearch-HotpotQA-PRM: direct link, hf CLI and curl.
- Browser
- Download file 325 Bytes
-
https://huggingface.co/RAG-Gym/ReSearch-HotpotQA-PRM/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://RAG-Gym/ReSearch-HotpotQA-PRM/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/RAG-Gym/ReSearch-HotpotQA-PRM/resolve/main/special_tokens_map.json
325 Bytes
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|eot_id|>" | |
| } | |