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README.md
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* 185M parameter transformer 'big' with 8 encoder layers and 2 decoder layers
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* 50k joint Sentencepiece vocabulary
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* Exported for fast inference to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format
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* Training data: https://huggingface.co/datasets/quickmt/quickmt-train.
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See the `eole` model configuration in this repository for further details and the `eole-model` for the raw `eole` (pytorch) model.
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* 185M parameter transformer 'big' with 8 encoder layers and 2 decoder layers
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| 43 |
* 50k joint Sentencepiece vocabulary
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| 44 |
* Exported for fast inference to [CTranslate2](https://github.com/OpenNMT/CTranslate2) format
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* Training data: https://huggingface.co/datasets/quickmt/quickmt-train.hi-en/tree/main
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See the `eole` model configuration in this repository for further details and the `eole-model` for the raw `eole` (pytorch) model.
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| 48 |
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