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 pytorch_model.bin from bluuluu/Qwen2.5-1.5B-Open-R1-Distill: direct link, hf CLI and curl.
- Browser
- Download file 2.69 GB
-
https://huggingface.co/bluuluu/Qwen2.5-1.5B-Open-R1-Distill/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bluuluu/Qwen2.5-1.5B-Open-R1-Distill/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bluuluu/Qwen2.5-1.5B-Open-R1-Distill/resolve/main/pytorch_model.bin
2.69 GB
- Xet hash:
- 3f62aae48acef321cee54e1f0c1d6a109978274a0144e081cd69a666820d2a44
- Size of remote file:
- 2.69 GB
- SHA256:
- 7328568fdd1393b7222064f8b4d9c07660216274eda32565b336923cc744a609
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