Instructions to use Siddartha10/CHIPSAL-C-GEMMA2-001-9B-75_precision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddartha10/CHIPSAL-C-GEMMA2-001-9B-75_precision with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Siddartha10/CHIPSAL-C-GEMMA2-001-9B-75_precision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- efb3101ffe079237c291c0b7a5c1a67271b9afb613a1036646b20a0ed278dd2c
- Size of remote file:
- 216 MB
- SHA256:
- 9d44ca2ae899755339d9482f1beafb901d7e56b5e3da3204cf142037b37b61f5
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