Token Classification
Transformers
Safetensors
English
modernbert
Generated from Trainer
named-entity-recognition
Eval Results (legacy)
Instructions to use MatteoFasulo/ModernBERT-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatteoFasulo/ModernBERT-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="MatteoFasulo/ModernBERT-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("MatteoFasulo/ModernBERT-base-NER") model = AutoModelForTokenClassification.from_pretrained("MatteoFasulo/ModernBERT-base-NER") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- accuracy
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model-index:
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- name: ModernBERT-base-NER
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results:
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datasets:
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- lhoestq/conll2003
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language:
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- accuracy
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model-index:
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- name: ModernBERT-base-NER
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results:
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- task:
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type: token-classification
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dataset:
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name: lhoestq/conll2003
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type: lhoestq/conll2003
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metrics:
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- name: Precision
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type: Precision
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value: 0.8982
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- name: Recall
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type: Recall
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value: 0.9239
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- name: F1
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type: F1
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value: 0.9109
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- name: Accuracy
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type: Accuracy
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value: 0.9822
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datasets:
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- lhoestq/conll2003
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language:
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