Instructions to use Ina-Developer/gemma-product-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ina-Developer/gemma-product-description with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ina-Developer/gemma-product-description", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ina-Developer/gemma-product-description: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/Ina-Developer/gemma-product-description/resolve/main/training_args.bin
- Command line
-
hf download hf://Ina-Developer/gemma-product-description/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ina-Developer/gemma-product-description/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- bb1e448630e59bb575295414a5837e932a41695b067ea1f4987a6280840f74cb
- Size of remote file:
- 6.03 kB
- SHA256:
- 56e84c79bea9d0e30f44e4c519e773f53d1369d99dc0f3f49981e759e4c0c800
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