Text Generation
PEFT
Safetensors
English
process-reward-model
prm
retrieval-augmented-generation
lora
conversational
Instructions to use MinKeonKim/PRO-STEP-PRM-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MinKeonKim/PRO-STEP-PRM-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-0528-Qwen3-8B") model = PeftModel.from_pretrained(base_model, "MinKeonKim/PRO-STEP-PRM-8B") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MinKeonKim/PRO-STEP-PRM-8B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MinKeonKim/PRO-STEP-PRM-8B/resolve/main/tokenizer.json
- Command line
-
hf download hf://MinKeonKim/PRO-STEP-PRM-8B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MinKeonKim/PRO-STEP-PRM-8B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 6375667439eeeda7abe574fd03e4aff06e97c7a4b26b289960b291231de382a1
- Size of remote file:
- 11.4 MB
- SHA256:
- 93d5fd6d2f8cf1172ac86cf982e2b88fa6732366b44dc1a32349379a54a6a044
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