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Tensor2tensor Translation for Docker - Dataset - B2FIND
- b2find.eudat.eu
Updated Sep 6, 2022
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EmailClick to copy linkLink copiedCite(2022). Tensor2tensor Translation for Docker - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/7dd7420b-d075-5cc8-9ae4-107369d28549Dataset updatedSep 6, 2022LicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionThis 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.
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Tensor2tensor Translation for Docker
- live.european-language-grid.eu
Updated Aug 22, 2021ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2021). Tensor2tensor Translation for Docker [Dataset]. https://live.european-language-grid.eu/catalogue/tool-service/18249Dataset updatedAug 22, 2021LicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionThis 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.
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wmt_t2t
- huggingface.co
Updated Apr 5, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteWMT: Workshop on Statistical Machine Translation (2024). wmt_t2t [Dataset]. https://huggingface.co/datasets/wmt/wmt_t2tCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 5, 2024Dataset authored and provided byWMT: Workshop on Statistical Machine TranslationLicensehttps://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/
DescriptionDataset Card for "wmt_t2t"
Dataset SummaryThe WMT EnDe Translate dataset used by the Tensor2Tensor library. Translation dataset based on the data from statmt.org. Versions exist for different years using a combination of data sources. The base wmt allows you to create a custom dataset by choosing your own data/language pair. This can be done as follows: from datasets import inspect_dataset, load_dataset_builder
inspect_dataset("wmt_t2t", "path/to/scripts") builder =… See the full description on the dataset page: https://huggingface.co/datasets/wmt/wmt_t2t.
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FacebookTwitterEmailApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
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.