Tensor2tensor Translation for Docker

PID

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.

Identifier
PID http://hdl.handle.net/11234/1-3734
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-3734
Provenance
Creator Variš, Dušan
Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2021
Funding Reference info:eu-repo/grantAgreement/EC/H2020/823782
Rights Apache License 2.0; http://opensource.org/licenses/Apache-2.0; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Resource Type toolService
Format text/plain; charset=utf-8; application/zip; downloadable_files_count: 1
Discipline Linguistics