Instructions to use CodeAtCMU/gemma-3-4b-pt_full_sft_code_data_120K_remove_comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeAtCMU/gemma-3-4b-pt_full_sft_code_data_120K_remove_comments with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodeAtCMU/gemma-3-4b-pt_full_sft_code_data_120K_remove_comments", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
82c751f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
size 4689074
|