Helsinki-NLP / Tatoeba-Challenge

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How do i use these models? #24

Closed Hammyhamm89 closed 1 year ago

Hammyhamm89 commented 2 years ago

hello?

jorgtied commented 2 years ago

You can use them with Marian-NMT. There is also the docker or the server setup provided from OPUS-MT if that helps you: https://github.com/Helsinki-NLP/OPUS-MT

Hammyhamm89 commented 2 years ago

You can use them with Marian-NMT. There is also the docker or the server setup provided from OPUS-MT if that helps you: https://github.com/Helsinki-NLP/OPUS-MT

But i have no experience in programming

jorgtied commented 2 years ago

There is no programming involved but some installation and program setup is required. Otherwise, you could also try OPUS-CAT for running models on your local (windows) machine: https://helsinki-nlp.github.io/OPUS-CAT/

Hammyhamm89 commented 2 years ago

yooo thanks so much

Hammyhamm89 commented 2 years ago

There is no programming involved but some installation and program setup is required. Otherwise, you could also try OPUS-CAT for running models on your local (windows) machine: https://helsinki-nlp.github.io/OPUS-CAT/

ah my cpu doesn't support AVX.... :(

jorgtied commented 2 years ago

Some models you can test with

Hammyhamm89 commented 2 years ago

i discovered a solution, but i sometimes get translation service error, is this normal?

jorgtied commented 2 years ago

You need to be a bit more specific in order to get any help. What kind of solution? What are you testing and how?

Hammyhamm89 commented 2 years ago

You need to be a bit more specific in order to get any help. What kind of solution? What are you testing and how?

solution: virtual machine Testing: caucasian language models How: what do you mean?

jorgtied commented 2 years ago

Did you start a virtual machine running Ubuntu with OPUS-MT installed according to the websocket solution? Or did you use the dockerized version of OPUS-MT to run on a virtual machine? Or is it some other kind of solution?

By the way, I believe that the Caucasian model might not be very good. Be aware of limitations!