Instructions to use bluuluu/Qwen2.5-1.5B-Open-R1-Distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bluuluu/Qwen2.5-1.5B-Open-R1-Distill with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bluuluu/Qwen2.5-1.5B-Open-R1-Distill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bluuluu/Qwen2.5-1.5B-Open-R1-Distill: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/bluuluu/Qwen2.5-1.5B-Open-R1-Distill/resolve/main/tokenizer.json
- Command line
-
hf download hf://bluuluu/Qwen2.5-1.5B-Open-R1-Distill/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bluuluu/Qwen2.5-1.5B-Open-R1-Distill/resolve/main/tokenizer.json
3.56 MB
- Xet hash:
- 6d0689816bccaf3692ac3112a0690a63062afb007efee41c23019aaa9e612f0d
- Size of remote file:
- 3.56 MB
- SHA256:
- d4c0d99d84af59e9126913fafe5210822963e9a3065ee43e6833b358b0c2f825
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