Token Classification
Transformers
Safetensors
Arabic
bert
fill-mask
arabic
arabic-dialects
spelling-correction
grammatical-error-correction
text-normalization
CODA
Instructions to use ahmedsamirtarjama/dialectnorm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedsamirtarjama/dialectnorm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ahmedsamirtarjama/dialectnorm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ahmedsamirtarjama/dialectnorm") model = AutoModelForMaskedLM.from_pretrained("ahmedsamirtarjama/dialectnorm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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