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Create README.md (#7436)
* Create README.md MagBERT-NER : Added widget (Text) * Rename model_cards/README.md to model_cards/TypicaAI/magbert-ner/README.md
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model_cards/TypicaAI/magbert-ner/README.md
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---
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language: fr
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widget:
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- text: "Je m'appelle Hicham et je vis a Fès"
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---
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# MagBERT-NER: a state-of-the-art NER model for Moroccan French language (Maghreb)
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## Introduction
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[MagBERT-NER] is a state-of-the-art NER model for Moroccan French language (Maghreb). The MagBERT-NER model was fine-tuned for NER Task based the language model for French Camembert (based on the RoBERTa architecture).
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For further information or requests, please go to [Typica.AI Website](https://typicasoft.io/)
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## How to use MagBERT-NER with HuggingFace
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##### Load MagBERT-NER and its sub-word tokenizer :
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-ner")
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model = AutoModelForTokenClassification.from_pretrained("TypicaAI/magbert-ner")
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##### Process text sample (from wikipedia about the current Prime Minister of Morocco) Using NER pipeline
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from transformers import pipeline
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nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True)
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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")
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#[{'entity_group': 'I-PERSON',
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# 'score': 0.8941445276141167,
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# 'word': 'Saad Dine El Otmani'},
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# {'entity_group': 'B-DATE',
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# 'score': 0.5967703461647034,
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# 'word': '16 janvier 1956'},
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# {'entity_group': 'B-GPE', 'score': 0.7160899192094803, 'word': 'Inezgane'},
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# {'entity_group': 'B-NORP', 'score': 0.7971733212471008, 'word': 'marocain'},
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# {'entity_group': 'B-GPE', 'score': 0.8921478390693665, 'word': 'Maroc'},
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# {'entity_group': 'B-DATE',
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# 'score': 0.5760444005330404,
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# 'word': '5 avril 2017'}]
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```
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```
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## Authors
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MagBert-NER was trained and evaluated by Hicham Assoudi, Ph.D.
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