Instructions to use Nhudang/Qwen-Coder-2.5-3B-Solidity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nhudang/Qwen-Coder-2.5-3B-Solidity with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhudang/Qwen-Coder-2.5-3B-Solidity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from Nhudang/Qwen-Coder-2.5-3B-Solidity: direct link, hf CLI and curl.
- Browser
- Download file 120 MB
-
https://huggingface.co/Nhudang/Qwen-Coder-2.5-3B-Solidity/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Nhudang/Qwen-Coder-2.5-3B-Solidity/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Nhudang/Qwen-Coder-2.5-3B-Solidity/resolve/main/adapter_model.safetensors
120 MB
- Xet hash:
- f1f0b13c15da5610e5051b9f1f2936f4b6f45e4ec054195bc76d828741de777b
- Size of remote file:
- 120 MB
- SHA256:
- f415f3228e06cfab1db7e8cb20fb819f50c2c5627e4ae963e65793d878e68ed7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.