Instructions to use b4b4yg4/food-json-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use b4b4yg4/food-json-finetune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("b4b4yg4/food-json-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 810bc3d361376239fbf44743aa68ce7724fff6058d3f23cbfc5d2158c7b9ff71
- Size of remote file:
- 1.47 kB
- SHA256:
- 6c374b5a90050f0de9583fb1646b9dee9dbbe14becdd74b3cc3c95d679cad6ad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.