Instructions to use hananour/darija-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hananour/darija-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hananour/darija-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hananour/darija-ner") model = AutoModelForTokenClassification.from_pretrained("hananour/darija-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This is the first publicly available model for NER in the Moroccan Dialect, also called Darija, trained in the very first NER dataset for Darija DarNERcorp (https://data.mendeley.com/datasets/286sss4k9v/4). The model is trained by finetuning AraBERT using a mixed data of DarNERcorp and ANERcorp.01ba413 -
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