Instructions to use chamuditha4/python-coder-1.5b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chamuditha4/python-coder-1.5b-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chamuditha4/python-coder-1.5b-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from chamuditha4/python-coder-1.5b-lora: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/chamuditha4/python-coder-1.5b-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://chamuditha4/python-coder-1.5b-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/chamuditha4/python-coder-1.5b-lora/resolve/main/adapter_model.safetensors
148 MB
- Xet hash:
- 1d7c79ed2dab75f6505bd3a9f4efe37d24104a32703ec8b5c1d6b61a101a5cf2
- Size of remote file:
- 148 MB
- SHA256:
- a7c5c239190637191d8c3950656ea4e33bf8c006cb4356e01911e613b8a562bf
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