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:
- 5909573221ae3b623a1fe814d74e77923e1cc6c8f9dd42d7bab52edc0bb4a5b5
- Size of remote file:
- 970 Bytes
- SHA256:
- 8052c52656dc4f929877567f9a592edc03565a3e5efb9002ef719dea18d3cb3c
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