Instructions to use JasonTree/Qwen2.5-instruct-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonTree/Qwen2.5-instruct-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonTree/Qwen2.5-instruct-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JasonTree/Qwen2.5-instruct-7B: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/JasonTree/Qwen2.5-instruct-7B/resolve/main/training_args.bin
- Command line
-
hf download hf://JasonTree/Qwen2.5-instruct-7B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JasonTree/Qwen2.5-instruct-7B/resolve/main/training_args.bin
6.07 kB
- Xet hash:
- d40210d14a0837737802435622c9f54136415faf1f80d8040e5e024a304e6247
- Size of remote file:
- 6.07 kB
- SHA256:
- 551558e47879c2906b570232402391c9e590ba1a5e77e990506edeade4d215a9
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