Instructions to use soumya-006/CodeMentor-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soumya-006/CodeMentor-LLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("soumya-006/CodeMentor-LLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b512406e9d0d83e76ea695cc90efa027745c74a99e81438764dce61ecd57b131
- Size of remote file:
- 11.4 MB
- SHA256:
- ca254c426640fe05bc87da4ced6e85ef9a1ccd2049a82f4d6b9d8e433a43e517
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.