Instructions to use Indramal/Calender-Event-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Indramal/Calender-Event-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Indramal/Calender-Event-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Indramal/Calender-Event-Classification") model = AutoModelForSequenceClassification.from_pretrained("Indramal/Calender-Event-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 715f11b73d7cf0e01e761a9fc71cfd612b58d1326eab2fb6c00786acd94ccc91
- Size of remote file:
- 536 MB
- SHA256:
- 5cf3ed28b904a2dd6e18542f30fcbe9e65a3d14297596d7529eb59d1058cbf90
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