| dc.contributor.author |
Variš, Dušan |
| dc.date.accessioned |
2021-08-24T11:43:57Z |
| dc.date.available |
2021-08-24T11:43:57Z |
| dc.date.issued |
2021-08-23 |
| dc.identifier.uri |
http://hdl.handle.net/11234/1-3734 |
| dc.description |
This submission contains Dockerfile for creating a Docker image with compiled Tensor2tensor backend with compatible (TensorFlow Serving) models available in the Lindat Translation service (https://lindat.mff.cuni.cz/services/transformer/). Additionally, the submission contains a web frontend for simple in-browser access to the dockerized backend service.
Tensor2Tensor (https://github.com/tensorflow/tensor2tensor) is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. |
| dc.publisher |
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| dc.relation |
info:eu-repo/grantAgreement/EC/H2020/823782 |
| dc.rights |
Apache License 2.0 |
| dc.rights.uri |
http://opensource.org/licenses/Apache-2.0 |
| dc.subject |
machine translation |
| dc.subject |
neural machine translation |
| dc.subject |
tensor2tensor |
| dc.subject |
docker |
| dc.title |
Tensor2tensor Translation for Docker |
| dc.type |
toolService |
| metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent |
false |
| metashare.ResourceInfo#ContentInfo.detailedType |
tool |
| dc.rights.label |
PUB |
| has.files |
yes |
| branding |
LINDAT / CLARIAH-CZ |
| demo.uri |
https://lindat.mff.cuni.cz/services/translation/ |
| contact.person |
Dušan Variš varis@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| sponsor |
European Union EC/H2020/823782 SSHOC - Social Sciences & Humanities Open Cloud euFunds info:eu-repo/grantAgreement/EC/H2020/823782 |
| files.size |
14090 |
| files.count |
1 |
