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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45720618d89df3b305c27a11c486815636763ff5be5de8cbba2c493ece7c6c9e
- Size of remote file:
- 4.73 kB
- SHA256:
- c2f6706ce297da1e6d7e1a774014eddd6e455ec750b676ceb70723a33da33c26
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