Text Classification
Transformers
TensorBoard
Safetensors
English
modernbert
Generated from Trainer
topic-detection
web-content-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use davanstrien/ModernBERT-web-topics-1m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/ModernBERT-web-topics-1m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/ModernBERT-web-topics-1m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/ModernBERT-web-topics-1m") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/ModernBERT-web-topics-1m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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