Instructions to use titouv/gemma-product-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use titouv/gemma-product-description with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("titouv/gemma-product-description", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f1b4ff5563d5fda160c661a0179ed7bc2bd7950b3fd8432673e1907590ed3a2
- Size of remote file:
- 6.16 kB
- SHA256:
- b5da35ca2212bb0c7aadd2691db2ebf5958d2772f6cf2a6e1306a08930c47e0a
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