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m2m100_418M-finetuned-en-to-ar
khalidalt/m2m100_418M-finetuned-en-to-ar
m2m100_418M-finetuned-en-to-ar is a machine learning model from khalidalt. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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At a glance
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- Jul 4, 2023
- Updated
- Jul 4, 2023
- SHA
- 241e8316
Model card
From the Hugging Face model README
M2M100 418M
M2M100 is a multilingual encoder-decoder transformer model trained for Many-to-Many multilingual translation. The model, originally introduced by researchers at Facebook, demonstrates impressive performance in cross-lingual translation tasks.
For a better understanding of M2M100 you can look into the paper and the associated repository.
To further enhance the capabilities of M2M100, we conducted finetuning experiments on English-to-Arabic parallel text. The finetuning process involved training the model for 1000K steps using a batch size of 8.
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Languages
- en, ar
- Created
- Jul 4, 2023
- Updated
- Jul 4, 2023