Instructions to use Tarun6665/gemma-intent-classification-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tarun6665/gemma-intent-classification-v8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tarun6665/gemma-intent-classification-v8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25e5840b25eae440537f982a30d8eab711400501e4032a6d8a64c5b143399b09
- Size of remote file:
- 6.1 kB
- SHA256:
- 7595eaf66cfb81f44402b2fa2cb1b9120af5af9753a92c6d09d0a4fcd3c8d1de
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