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:
- d8f2178d56f02c6a77be589c90b3292c82b955d16722c1d6a13aeb713dc9f1b3
- Size of remote file:
- 268 MB
- SHA256:
- dac5302bc47f20c18023fd32f51e2fd5dcffe90db200077b9f784113d9b8dd17
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