Instructions to use Siddartha10/CHIPSAL-C-GEMMA2-001-9B-74_precision_3e-4 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-74_precision_3e-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Siddartha10/CHIPSAL-C-GEMMA2-001-9B-74_precision_3e-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 53c78bc1facf36b59464289465e56ea514d512e6c6750d43bf5ff3f79128c483
- Size of remote file:
- 216 MB
- SHA256:
- fd355964e4f6af3a7018e9e6ca66c111d7014601388d1fe373046ee722319e8e
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