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 adapter_model.safetensors from amakura/code_model: direct link, hf CLI and curl.
- Browser
- Download file 120 MB
-
https://huggingface.co/amakura/code_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://amakura/code_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/amakura/code_model/resolve/main/adapter_model.safetensors
120 MB
- Xet hash:
- c46b3b9581ce916f27b980e227c4b709c07fde4239a58b488c1db66144ccb86a
- Size of remote file:
- 120 MB
- SHA256:
- b74b7ae3dba999ab6787f7bd69c6ec97ff1f7ed025e261aafa558acd89e07d16
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