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Opus-MT reviews and mentions
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“sync,corrected by elderman” issue in ML translation datasets spread on internet
- mention on GitHub repo of a translation model https://github.com/Helsinki-NLP/Opus-MT/issues/62
I'm curious to see if anyone else has interesting encounters with this
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How worried are you about AI taking over music?
Yes, most models these days, except the exceptionally large ones, are possible to train on a laptop. Of course it helps if your laptop has Nvidia CUDA GPU, but even if it doesn't you can rent an AWS 4 core/16GB GPU instance for 0.5 cents an hour. 24 hours of training time would be quite a lot for most models, unless you're trying to train a FB any to any language type model, but typically the big huge models are not the most interesting ones, and you can get very good results, and interesting models with substantially smaller sets of data. Opus MT models are only one language to one language, but they're about 300MB a model, and the quality rivals FB's models, and the speed is substantially faster. I don't have as many examples from the music space, as it's still a fairly under explored area, but Google has released Magenta which is a pretrained Tensorflow music model(actually a group of 3-4 models).
- Helsinki-NLP/Opus-MT: Open neural machine translation models and web services
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A note from our sponsor - SaaSHub
www.saashub.com | 18 May 2024
Stats
Helsinki-NLP/Opus-MT is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Opus-MT is Python.
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