Instructions to use Tarun6665/gemma-intent-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tarun6665/gemma-intent-classification-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tarun6665/gemma-intent-classification-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fc76f243b3bc449acfdc35568812836842cc2aba51cfa36b88d401649a4168c
- Size of remote file:
- 6.1 kB
- SHA256:
- 3403250e1031948cb39af96345b6a32015cf9bc9026168f7d26ad319738c441a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.