Instructions to use JasonTree/Qwen2.5-Instruct-7B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonTree/Qwen2.5-Instruct-7B-SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonTree/Qwen2.5-Instruct-7B-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from JasonTree/Qwen2.5-Instruct-7B-SFT: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/JasonTree/Qwen2.5-Instruct-7B-SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://JasonTree/Qwen2.5-Instruct-7B-SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/JasonTree/Qwen2.5-Instruct-7B-SFT/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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