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text-classification mask_token: <mask>
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							curl -X POST \
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-H "Content-Type: application/json" \
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akhooli/xlm-r-large-arabic-sent akhooli/xlm-r-large-arabic-sent
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Contributed by

akhooli Abed Khooli
5 models

How to use this model directly from the 🤗/transformers library:

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from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akhooli/xlm-r-large-arabic-sent") model = AutoModelForSequenceClassification.from_pretrained("akhooli/xlm-r-large-arabic-sent")


Multilingual sentiment classification (Label_0: mixed, Label_1: negative, Label_2: positive) of Arabic reviews by fine-tuning XLM-Roberta-Large. Zero shot classification of other languages (also works in mixed languages - ex. Arabic & English). Mixed category is not accurate and may confuse other classes (was based on a rate of 3 out of 5 in reviews).
Usage: see last section in this Colab notebook