Token Classification
Transformers
Safetensors
Moroccan Arabic
Arabic
bert
part-of-speech
pos-tagging
moroccan-darija
darija
low-resource-languages
Eval Results (legacy)
Instructions to use TypicaAI/DarijaPOSTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TypicaAI/DarijaPOSTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="TypicaAI/DarijaPOSTagger")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("TypicaAI/DarijaPOSTagger") model = AutoModelForTokenClassification.from_pretrained("TypicaAI/DarijaPOSTagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update model card (v0.1 fact-checked)
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Add model card
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Add tokenizer
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Add DarijaBERT POS tagger v0.1 (15-tag Darija tagset, preliminary release)
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initial commit
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