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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


 Soubory tohoto záznamu

Licenční kategorie:
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Licence: Apache License 2.0
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Název
lindat-transformer-docker.zip
Velikost
13.76 KB
Formát
application/zip
Popis
Installation Archive
MD5
81c504b737f92af54959cabe0a5e76e8
 Stáhnout soubor  Náhled
 Náhled souboru  
  • lindat-transformer-docker
    • translate.sh1 kB
    • t2t-serving-adapter.py8 kB
    • models
      • available_models.txt334 B
      • model.config.template166 B
      • model.config.gen121 B
      • get_models.sh338 B
      • batching.config60 B
    • README.md909 B
    • Dockerfile.base1 kB
    • usr_dir
      • my_registrations.py3 kB
      • __init__.py61 B
    • start.sh632 B
    • Dockerfile.template197 B
    • Dockerfile.build.sh294 B
    • LICENSE11 kB

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