Instructions to use Venkatesh4342/Event_Check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Venkatesh4342/Event_Check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Venkatesh4342/Event_Check")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Venkatesh4342/Event_Check") model = AutoModelForSequenceClassification.from_pretrained("Venkatesh4342/Event_Check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 020f4834bacea9e770cc264a67d9ec14758738b2e4ce4a326e3ba5701977a5d7
- Size of remote file:
- 67.4 MB
- SHA256:
- 94408693fd3fe34faab1ebce049b08409329dbd05efb154b2bcbccf433e9f73b
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