Instructions to use stacklok/Qwen2.5-Coder-0.5B-curriculum-codegate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stacklok/Qwen2.5-Coder-0.5B-curriculum-codegate with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stacklok/Qwen2.5-Coder-0.5B-curriculum-codegate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 597680ec4ca10e7e5a61eb7f08252fe1615bad5daee8830de1236b995fbdd98d
- Size of remote file:
- 17.6 MB
- SHA256:
- 6c3c9d6cba2f51d1b1fe192a7332415e4575cf5d9bbf238eadc431cc85ffc687
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.