Instructions to use amakura/code_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amakura/code_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amakura/code_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from amakura/code_model: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/amakura/code_model/resolve/1edadca8aaf9c7388db0d1645b236a4b55c17ecb/tokenizer.json
- Command line
-
hf download hf://amakura/code_model@1edadca8aaf9c7388db0d1645b236a4b55c17ecb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/amakura/code_model/resolve/1edadca8aaf9c7388db0d1645b236a4b55c17ecb/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.