Instructions to use JasonTree/Qwen2.5-instruct-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonTree/Qwen2.5-instruct-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonTree/Qwen2.5-instruct-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JasonTree/Qwen2.5-instruct-3B: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/JasonTree/Qwen2.5-instruct-3B/resolve/main/training_args.bin
- Command line
-
hf download hf://JasonTree/Qwen2.5-instruct-3B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JasonTree/Qwen2.5-instruct-3B/resolve/main/training_args.bin
6.07 kB
- Xet hash:
- e48817a727fb5cf1e08bd850fa75dba4515fe024898dcea72033f07b24af95ba
- Size of remote file:
- 6.07 kB
- SHA256:
- 63101003d73289494c0e013ab92b2789bd3d06ac049e46aecfbab1ab3d4c54ce
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