Token Classification
Transformers
Safetensors
English
modernbert
Generated from Trainer
named-entity-recognition
Eval Results (legacy)
Instructions to use MatteoFasulo/ModernBERT-large-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoFasulo/ModernBERT-large-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MatteoFasulo/ModernBERT-large-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/ModernBERT-large-NER") model = AutoModelForTokenClassification.from_pretrained("MatteoFasulo/ModernBERT-large-NER") - Notebooks
- Google Colab
- Kaggle
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## Acknowledgments
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This model was built using the ModernBERT-
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## Acknowledgments
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This model was built using the ModernBERT-large architecture from Answer.AI and trained using the Hugging Face Transformers library.
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