Translation
Transformers
Safetensors
Arabic
t5
text2text-generation
Syrian
Shami
MT
MSA
Dialect
ArabicNLP
text-generation-inference
Instructions to use Omartificial-Intelligence-Space/Shami-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omartificial-Intelligence-Space/Shami-MT with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Omartificial-Intelligence-Space/Shami-MT")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/Shami-MT") model = AutoModelForSeq2SeqLM.from_pretrained("Omartificial-Intelligence-Space/Shami-MT") - Notebooks
- Google Colab
- Kaggle
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README.md
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journal={arXiv preprint arXiv:2310.17315},
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year={2023}
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}
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```
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## Contact & Support
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journal={arXiv preprint arXiv:2310.17315},
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year={2023}
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}
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@misc{onajar2025shamiMT,
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title={Shami-MT-2MSA : A Machine Translation from Syrian Dialect to MSA},
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author={Sibaee, Serry and Nacar, Omer},
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year={2025}
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}
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```
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## Contact & Support
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