Instructions to use Tarun6665/gemma-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tarun6665/gemma-intent-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tarun6665/gemma-intent-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcdee6bd0c5153b238a21251060ef5d06588aaab0deca1e8dfbbdf9804fb9e0d
- Size of remote file:
- 6.1 kB
- SHA256:
- e8ce3be44449f93b810fe9c1b402c55c95799bbaab696100c77df445e873b2e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.