Spaces:
Sleeping
Sleeping
# LASER: sentence encoders for WMT '22 shared task - data track | |
More information on the shared task can be found here: | |
https://statmt.org/wmt22/large-scale-multilingual-translation-task.html | |
## Downloading encoders | |
To download encoders for all 24 supported languages, | |
please run the `download_models.sh` script within this directory | |
``` | |
bash ./download_models.sh | |
``` | |
This will place all supported models within the directory: `$LASER/models/wmt22` | |
**Note**: encoders for each focus language are in the format: `laser3-xxx`, except for | |
Afrikaans (afr), English (eng), and French (fra) which are all supported by the laser2 model. | |
Available languages are: amh, fuv, hau, ibo, kam, kin, lin, lug, luo, nso, nya, orm, sna, som, ssw, swh, tsn, tso, umb, wol, xho, yor and zul | |
## Embedding texts | |
Once all encoders are downloaded, you can then begin embedding texts by following the | |
instructions under: `LASER/tasks/embed/README.md` | |