Instructions to use JasonTree/Qwen2.5-base-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JasonTree/Qwen2.5-base-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JasonTree/Qwen2.5-base-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from JasonTree/Qwen2.5-base-7B: direct link, hf CLI and curl.
- Browser
- Download file 6.07 kB
-
https://huggingface.co/JasonTree/Qwen2.5-base-7B/resolve/main/training_args.bin
- Command line
-
hf download hf://JasonTree/Qwen2.5-base-7B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/JasonTree/Qwen2.5-base-7B/resolve/main/training_args.bin
6.07 kB
- Xet hash:
- 7f73fd92caa7ae2fb319051975715f43172879f4a55127644971d605976f137a
- Size of remote file:
- 6.07 kB
- SHA256:
- 1ace42d243188d3406f4efb287ff9975767a3d021d9ad9eac26fbe3a4524ab2a
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