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Variš, Dušan, 2021, Tensor2tensor Translation for Docker, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-3734.
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dc.contributor.authorVariš, Dušan
dc.date.accessioned2021-08-24T11:43:57Z
dc.date.available2021-08-24T11:43:57Z
dc.date.issued2021-08-23
dc.descriptionThis 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.identifier.urihttp://hdl.handle.net/11234/1-3734
dc.publisherCharles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/823782
dc.rightsApache License 2.0
dc.rights.labelPUB
dc.rights.urihttp://opensource.org/licenses/Apache-2.0
dc.subjectmachine translation
dc.subjectneural machine translation
dc.subjecttensor2tensor
dc.subjectdocker
dc.titleTensor2tensor Translation for Docker
dc.typetoolService
local.brandingLINDAT / CLARIAH-CZ
local.contact.personDušan Variš varis@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
local.demo.urihttps://lindat.mff.cuni.cz/services/translation/
local.files.count1
local.files.size14090
local.has.filesyes
local.sponsoreuFunds EC/H2020/823782 European Union SSHOC - Social Sciences & Humanities Open Cloud info:eu-repo/grantAgreement/EC/H2020/823782
metashare.ResourceInfo#ContentInfo.detailedTypetool
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependentfalse

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lindat-transformer-docker.zip
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  • lindat-transformer-docker
    • translate.sh1 kB
    • t2t-serving-adapter.py8 kB
    • models
      • model.config.template166 B
      • model.config.gen121 B
      • available_models.txt334 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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