This is just a clone of TensorFlow/syntaxnet docker image on 2022 March.
Start the container with the Jupyter tutorial $ docker run -it -p 8888:8888 tensorflow/syntaxnet Go to your browser on http://localhost:8888/
More info DRAGNN (Dynamic Recurrent Acyclic Graphical Neural Networks) is a framework for building multi-task, dynamically connected computation graphs. In practice, it uses SyntaxNet as its backend to perform several NLP tasks in a joint model (publicly released models include segmentation + POS tagging + syntactic parsing).
Links & documentation:
Getting started tutorial https://github.com/tensorflow/models/blob/master/syntaxnet/g3doc/CLOUD.md Paper https://arxiv.org/pdf/1703.04474.pdf Blogpost https://research.googleblog.com/2017/03/an-upgrade-to-syntaxnet-new-models-and.html Code https://github.com/tensorflow/models/tree/master/syntaxnet
Content type
Image
Digest
Size
1.3 GB
Last updated
over 4 years ago
docker pull rewreu/syntaxnet