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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT") model = AutoModelForSequenceClassification.from_pretrained("wissamantoun/WebOrganizer-TopicClassifier-ModernBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 116521f20de5c8f7ca754353dc7d26b619bea45ece13b6568533b146084d8a33
- Size of remote file:
- 6.84 kB
- SHA256:
- e7aaeac28840f0dd1915ce1f6f689f1e4cc1c4110cd16f4981ce08ea92145ce3
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