Instructions to use zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base/resolve/6380762edfbd2eea4da8217ffccbc37ed481502f/tokenizer.json
- Command line
-
hf download hf://zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base@6380762edfbd2eea4da8217ffccbc37ed481502f/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zaenalium/Qwen2.5-Coder-1_5B-R-Code-Base/resolve/6380762edfbd2eea4da8217ffccbc37ed481502f/tokenizer.json
11.4 MB
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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