Instructions to use cipherpy/gemma-product-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cipherpy/gemma-product-description with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cipherpy/gemma-product-description", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cb2ee74a58fdfee2ec8eba87b1a417def570fd9297c2dff40ed5e011c67aaeb
- Size of remote file:
- 5.69 kB
- SHA256:
- 25b2e12c8d5b53e72598709a39791de4014f8212ad0521b2783faca85a1ea235
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