Instructions to use wissamantoun/WebOrganizer-TopicClassifier-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wissamantoun/WebOrganizer-TopicClassifier-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wissamantoun/WebOrganizer-TopicClassifier-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT") model = AutoModelForSequenceClassification.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c66fb8703581605b5473f8e1374629906f9882af57a6ab669be3a9e90cb12ba
- Size of remote file:
- 1.92 MB
- SHA256:
- 50bfbc2c7a8ab7edc402ea54ff39daaa87fdd2faca623782df9510ef3c878c86
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