Instructions to use learn2pro/Qwen-3B-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn2pro/Qwen-3B-GRPO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="learn2pro/Qwen-3B-GRPO")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("learn2pro/Qwen-3B-GRPO") model = AutoModel.from_pretrained("learn2pro/Qwen-3B-GRPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from learn2pro/Qwen-3B-GRPO: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/learn2pro/Qwen-3B-GRPO/resolve/main/tokenizer.json
- Command line
-
hf download hf://learn2pro/Qwen-3B-GRPO/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/learn2pro/Qwen-3B-GRPO/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 36dc0598da1686905ebe8e855514c19cc4304fdd9d27c4ba21cc830f98c11696
- Size of remote file:
- 11.4 MB
- SHA256:
- 63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
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