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language: ar |
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# Sanaa-Dialect |
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## Finetuned Arabic GPT-2 demo |
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This is a small GPT-2 model, originally trained on Arabic Wikipedia circa September 2020 , |
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finetuned on dialect datasets DART (Qatar University), aoc_id (University of British Columbia / NLP) |
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and arabic_dialect_annotation (Johns Hopkins University / LREC) |
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You can use special tokens to prompt five dialects: `[EGYPTIAN]`, `[GULF]`, `[LEVANTINE]`, '[MAGHREBI]', and `[MSA]` |
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``` |
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from simpletransformers.language_generation import LanguageGenerationModel |
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model = LanguageGenerationModel("gpt2", "monsoon-nlp/sanaa-dialect") |
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model.generate('[GULF]' + "مدينتي هي", { 'max_length': 100 }) |
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``` |
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There is NO content filtering in the current version; do not use for public-facing |
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text generation! |
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## Training and Finetuning details |
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Original model and training: https://huggingface.co/monsoon-nlp/sanaa |
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I inserted new tokens into the tokenizer, finetuned the model on the dialect samples, and exported the new model. |
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Notebook: https://colab.research.google.com/drive/1fXFH7g4nfbxBo42icI4ZMy-0TAGAxc2i |
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شكرا لتجربة هذا! ارجو التواصل معي مع الاسئلة |
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