|
--- |
|
language: ar |
|
--- |
|
|
|
# Sanaa-Dialect |
|
## Finetuned Arabic GPT-2 demo |
|
|
|
This is a small GPT-2 model, originally trained on Arabic Wikipedia circa September 2020 , |
|
finetuned on dialect datasets from Qatar University, University of British Columbia / NLP, |
|
and Johns Hopkins University / LREC |
|
|
|
- https://qspace.qu.edu.qa/handle/10576/15265 |
|
- https://github.com/UBC-NLP/aoc_id |
|
- https://github.com/ryancotterell/arabic_dialect_annotation |
|
|
|
You can use special tokens to prompt five dialects: `[EGYPTIAN]`, `[GULF]`, `[LEVANTINE]`, `[MAGHREBI]`, and `[MSA]` |
|
|
|
``` |
|
from simpletransformers.language_generation import LanguageGenerationModel |
|
model = LanguageGenerationModel("gpt2", "monsoon-nlp/sanaa-dialect") |
|
model.generate('[GULF]' + "مدينتي هي", { 'max_length': 100 }) |
|
``` |
|
|
|
There is NO content filtering in the current version; do not use for public-facing |
|
text generation! |
|
|
|
## Training and Finetuning details |
|
|
|
Original model and training: https://huggingface.co/monsoon-nlp/sanaa |
|
|
|
I inserted new tokens into the tokenizer, finetuned the model on the dialect samples, and exported the new model. |
|
|
|
Notebook: https://colab.research.google.com/drive/1fXFH7g4nfbxBo42icI4ZMy-0TAGAxc2i |
|
|
|
شكرا لتجربة هذا! ارجو التواصل معي مع الاسئلة |
|
|
|
|
