Instructions to use lafifi-24/arbert_arabic_dialect_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lafifi-24/arbert_arabic_dialect_identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lafifi-24/arbert_arabic_dialect_identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lafifi-24/arbert_arabic_dialect_identification") model = AutoModelForSequenceClassification.from_pretrained("lafifi-24/arbert_arabic_dialect_identification") - Notebooks
- Google Colab
- Kaggle
Our Arabic Dialect Identification models are trained to accurately identify spoken dialects in Arabic text. Developed as part of a larger project, these models were trained using a combination of publicly available datasets and fine-tuned on our own dataset. With high accuracy in identifying Arabic dialects, our models can be utilized in a variety of applications. Check out our project on Arabic Dialect Identification for more information! https://github.com/Lafifi-24/arabic-dialect-identification
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