Instructions to use answerdotai/ModernBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use answerdotai/ModernBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="answerdotai/ModernBERT-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("answerdotai/ModernBERT-large") model = AutoModelForMaskedLM.from_pretrained("answerdotai/ModernBERT-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Purge duplicate "decoder.weight", rely on tied weights instead
Tom Aarsen9459040
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Upload ModernBERT-large model
Tom AarsenNote: this currently gives different results than the sourcedca61cc