Instructions to use handsukwoo/qwen_2.5_7b_2split_1000steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use handsukwoo/qwen_2.5_7b_2split_1000steps with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("handsukwoo/qwen_2.5_7b_2split_1000steps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from handsukwoo/qwen_2.5_7b_2split_1000steps: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/handsukwoo/qwen_2.5_7b_2split_1000steps/resolve/main/tokenizer.json
- Command line
-
hf download hf://handsukwoo/qwen_2.5_7b_2split_1000steps/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/handsukwoo/qwen_2.5_7b_2split_1000steps/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 73e0d8554d42d2d08e624a1196bd0a67f7fe5871a8b1259b8d9e07770cc93834
- Size of remote file:
- 11.4 MB
- SHA256:
- f3935a49a7df24c1b6f4ba6b4e168556aa2de3d96d7dcb9c6e5b198f6f536510
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