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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d50bdc492459f23f68b1f49a6ea1881b62a4ea75b48a8b01d6d99db298e6235a
- Size of remote file:
- 627 Bytes
- SHA256:
- abd65622b00542a2477df9109020601f2870ab1b29de07c6f9f157414e14cf56
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