create readme

README.md

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+---
+language: 
+- ar
+- dz
+
+tags:
+- pytorch
+- bert
+- multilingual
+- ar
+- dz
+
+widget:
+- text: "انا جزائري عايش في قسنطينة"
+- text: "rabi yahfdek khouya la3ziz"
+- text: "123 viva l'Agérie, tahya el djazair !"
+- text: "ye3ayi l film hedak ghir akhtik"
+
+inference: true
+---
+
+<img src="https://raw.githubusercontent.com/alger-ia/dziribert/main/dziribert_drawing.png" alt="drawing" width="25%" height="25%" align="right"/>
+
+
+# DziriBERT Sentiment
+
+
+DziriBERT is the first Transformer-based Language Model that has been pre-trained specifically for the Algerian Dialect. It handles Algerian text contents written using both Arabic and Latin characters. 
+This is a fine-tuned version that is ready to use for sentiment classification. 
+
+For more information, please visit our paper: https://arxiv.org/pdf/2109.12346.pdf.
+
+## How to use
+
+```python
+from transformers import BertTokenizer, BertForSequenceClassification
+
+tokenizer = BertTokenizer.from_pretrained("alger-ia/dziribert_sentiment")
+model = BertForSequenceClassification.from_pretrained("alger-ia/dziribert_sentiment")
+
+```
+
+You can find a fine-tuning script in our Github repo: https://github.com/alger-ia/dziribert
+
+### How to cite
+
+```bibtex
+@article{dziribert,
+  title={DziriBERT: a Pre-trained Language Model for the Algerian Dialect},
+  author={Abdaoui, Amine and Berrimi, Mohamed and Oussalah, Mourad and Moussaoui, Abdelouahab},
+  journal={arXiv preprint arXiv:2109.12346},
+  year={2021}
+}
+```
+
+## Contact 
+
+Please contact [email protected] for any question, feedback or request.