Sanskrit-English Custom Transformer is a compact encoder-decoder translation model trained from scratch on Sanskrit-English sentence pairs. It includes model weights, a SentencePiece tokenizer, configuration, and self-contained Python modeling code for local inference.
In the Foundation models & chat space, Sanskrit En Custom Transformer takes a focused approach. It focuses on translating Sanskrit text into English with a lightweight locally runnable model. Sanskrit En Custom Transformer is an open-source project aimed at machine learning developers and researchers. The project is open source (Open Source). It runs on the web, the command line, and API, and it can be self-hosted.
krpraveen builds and maintains Sanskrit En Custom Transformer. Key capabilities include sanskrit translation, english translation, and local inference.
Summary written by a language model from the project’s public pages.
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