Magbert Ner

🚀 MagBERT-NER: A State-of-the-Art NER Model for Moroccan French Language (Maghreb)

MagBERT-NER is a cutting - edge NER model tailored for the Moroccan French language (Maghreb), offering high - performance entity recognition capabilities.

🚀 Quick Start

✨ Features

• MagBERT-NER is a state-of-the-art NER model for Moroccan French language (Maghreb).
• It was fine - tuned for the NER task based on the French Camembert language model (built on the RoBERTa architecture).

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

Load MagBERT-NER and its sub - word tokenizer:

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-ner")
model = AutoModelForTokenClassification.from_pretrained("TypicaAI/magbert-ner")

Advanced Usage

Process text sample (from wikipedia about the current Prime Minister of Morocco) using the NER pipeline:

from transformers import pipeline

nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True)
nlp("Saad Dine El Otmani, né le 16 janvier 1956 à Inezgane, est un homme d'État marocain, chef du gouvernement du Maroc depuis le 5 avril 2017")

#[{'entity_group': 'I-PERSON',
#  'score': 0.8941445276141167,
#  'word': 'Saad Dine El Otmani'},
# {'entity_group': 'B-DATE',
#  'score': 0.5967703461647034,
#  'word': '16 janvier 1956'},
# {'entity_group': 'B-GPE', 'score': 0.7160899192094803, 'word': 'Inezgane'},
# {'entity_group': 'B-NORP', 'score': 0.7971733212471008, 'word': 'marocain'},
# {'entity_group': 'B-GPE', 'score': 0.8921478390693665, 'word': 'Maroc'},
# {'entity_group': 'B-DATE',
#  'score': 0.5760444005330404,
#  'word': '5 avril 2017'}]

📚 Documentation

MagBERT-NER is a state-of-the-art NER model for Moroccan French language (Maghreb). The MagBERT-NER model was fine - tuned for the NER Task based on the language model for French Camembert (based on the RoBERTa architecture).

For further information or requests, please visit our website at typica.ai Website or send us an email at contactus@typica.ai

🔧 Technical Details

The model is based on the RoBERTa architecture and fine - tuned from the French Camembert language model for the NER task.

📄 License

The model is released under the apache - 2.0 license.

Information Table