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