Instructions to use wissamantoun/WebOrganizer-FormatClassifier-ModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wissamantoun/WebOrganizer-FormatClassifier-ModernBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wissamantoun/WebOrganizer-FormatClassifier-ModernBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wissamantoun/WebOrganizer-FormatClassifier-ModernBERT") model = AutoModelForSequenceClassification.from_pretrained("wissamantoun/WebOrganizer-FormatClassifier-ModernBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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You can convert the `logits` of the model with a softmax to obtain a probability distribution over the following 24 categories (in order of labels, also see `id2label` and `label2id` in the model config):
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0. Academic Writing
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1. Content Listing
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2. Creative Writing
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```
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You can convert the `logits` of the model with a softmax to obtain a probability distribution over the following 24 categories (in order of labels, also see `id2label` and `label2id` in the model config):
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0. Academic Writing
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1. Content Listing
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2. Creative Writing
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