Tensor2tensor Translation for Docker
Please use the following text to cite this item or export to a predefined format:
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.
Authors
Item identifier
Date issued
2021-08-23
Type
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.
Acknowledgement
European Union
Project code:EC/H2020/823782
Project name:SSHOC - Social Sciences & Humanities Open Cloud
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Files in this item
- Name
- lindat-transformer-docker.zip
- Size
- 13.76 KB
- Format
- application/zip
- Description
- Installation Archive
- MD5
- 81c504b737f92af54959cabe0a5e76e8
- 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