Add pipeline.
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spitfire4794
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README.md
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license: mit
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# Bangla-to-English-Translation
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This model has been trained using an encoder-decoder with attention mechanism to translate Bangla to English. The repository containing this model could be a useful starting point for those working on Bangla machine translation. The dataset used for training consists of 195,775 sentence pairs of Bangla and English. Both languages were tokenized using sentencepiece tokenizer, and the vocabulary size was defined as 30,000.
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1. https://torchtutorialstaging.z5.web.core.windows.net/beginner/translation_transformer.html
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2. https://arusl.medium.com/japanese-english-language-translation-with-transformer-using-pytorch-243738146806
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3. https://github.com/hyunwoongko/transformer
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4. https://www.kaggle.com/datasets/ari994/banglaenglishtransliteration
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---
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license: mit
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pipeline_tag: translation
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---
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# Bangla-to-English-Translation
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This model has been trained using an encoder-decoder with attention mechanism to translate Bangla to English. The repository containing this model could be a useful starting point for those working on Bangla machine translation. The dataset used for training consists of 195,775 sentence pairs of Bangla and English. Both languages were tokenized using sentencepiece tokenizer, and the vocabulary size was defined as 30,000.
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1. https://torchtutorialstaging.z5.web.core.windows.net/beginner/translation_transformer.html
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2. https://arusl.medium.com/japanese-english-language-translation-with-transformer-using-pytorch-243738146806
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3. https://github.com/hyunwoongko/transformer
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4. https://www.kaggle.com/datasets/ari994/banglaenglishtransliteration
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