Instructions to use genome06/automated_tech_support_ticketing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use genome06/automated_tech_support_ticketing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="genome06/automated_tech_support_ticketing_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("genome06/automated_tech_support_ticketing_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02b084f735c4bd987f5a4a7bb237cc9313f1bdae3d3d0a5e918dfb1d82ff6ad8
- Size of remote file:
- 268 MB
- SHA256:
- a7c23ed1f5cb3ae17b59178ea8ef039a58db4234bb75379a5366873fee784650
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