OLAC Record
oai:lindat.mff.cuni.cz:11234/1-3734

Metadata
Title:Tensor2tensor Translation for Docker
Bibliographic Citation:http://hdl.handle.net/11234/1-3734
Creator:Variš, Dušan
Date (W3CDTF):2021-08-24T11:43:57Z
Date Available:2021-08-24T11:43:57Z
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.
Identifier (URI):http://hdl.handle.net/11234/1-3734
Language:No linguistic content
Language (ISO639):zxx
Publisher:Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Rights:Apache License 2.0
http://opensource.org/licenses/Apache-2.0
Subject:machine translation
neural machine translation
tensor2tensor
docker
Type:toolService
Type (DCMI):Software

OLAC Info

Archive:  LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University
Description:  http://www.language-archives.org/archive/lindat.mff.cuni.cz
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:lindat.mff.cuni.cz:11234/1-3734
DateStamp:  2021-08-24
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Variš, Dušan. 2021. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL).
Terms: dcmi_Software iso639_zxx


http://www.language-archives.org/item.php/oai:lindat.mff.cuni.cz:11234/1-3734
Up-to-date as of: Wed Nov 30 4:28:22 EST 2022