Instructions to use CodeAtCMU/gemma-3-4b-pt-GenerativePerturbations_full_sft_code_data_120K_imaginary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeAtCMU/gemma-3-4b-pt-GenerativePerturbations_full_sft_code_data_120K_imaginary with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodeAtCMU/gemma-3-4b-pt-GenerativePerturbations_full_sft_code_data_120K_imaginary", dtype="auto") - Notebooks
- Google Colab
- Kaggle
gemma-3-4b-pt-GenerativePerturbations_full_sft_code_data_120K_imaginary / model-00001-of-00004.safetensors
- Xet hash:
- 35d77e4c9d7742851af18380e16bfff8f71ddb874b67a5aacc0c1ab6ddeb6117
- Size of remote file:
- 4.9 GB
- SHA256:
- 40db4971711471ce285e88fd347b1a905375b174d1842aa43edabecfaafd0f2f
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