Instructions to use RichardSieg/modernBert-base-decade-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RichardSieg/modernBert-base-decade-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RichardSieg/modernBert-base-decade-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RichardSieg/modernBert-base-decade-classifier") model = AutoModelForSequenceClassification.from_pretrained("RichardSieg/modernBert-base-decade-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update tokenizer
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Fine-tuned answerdotai/ModernBERT-base for decade classification
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initial commit
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