Instructions to use VortexHunter23/LeoPARD-Coder-0.8.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VortexHunter23/LeoPARD-Coder-0.8.2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VortexHunter23/LeoPARD-Coder-0.8.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from VortexHunter23/LeoPARD-Coder-0.8.2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/VortexHunter23/LeoPARD-Coder-0.8.2/resolve/main/tokenizer.json
- Command line
-
hf download hf://VortexHunter23/LeoPARD-Coder-0.8.2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/VortexHunter23/LeoPARD-Coder-0.8.2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4c62bdf4ddc5712990bcf33e727ba8acc8cbbf4481bf7676993b01cb1bd13fd6
- Size of remote file:
- 11.4 MB
- SHA256:
- 5d49e08c96fcd0fb570ca5259ffb933ce28eb5c68f2c28505ca4c1cf5d6b35fd
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