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Abdullah Rashwan 9b3810e0c4 | 1 year ago | |
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colab | 1 year ago | |
common | 1 year ago | |
core | 1 year ago | |
legacy | 1 year ago | |
modeling | 1 year ago | |
nlp | 1 year ago | |
pip_package | 1 year ago | |
projects | 1 year ago | |
recommendation | 1 year ago | |
utils | 1 year ago | |
vision | 1 year ago | |
README-TPU.md | 2 years ago | |
README.md | 1 year ago | |
__init__.py | 2 years ago | |
nightly_requirements.txt | 1 year ago | |
requirements.txt | 1 year ago |
The TensorFlow official models are a collection of models
that use TensorFlow’s high-level APIs.
They are intended to be well-maintained, tested, and kept up to date
with the latest TensorFlow API.
They should also be reasonably optimized for fast performance while still
being easy to read.
These models are used as end-to-end tests, ensuring that the models run
with the same or improved speed and performance with each new TensorFlow build.
The API documentation of the latest stable release is published to
tensorflow.org.
The team is actively developing new models.
In the near future, we will add:
Model | Reference (Paper) |
---|---|
Mobile Video Networks (MoViNets) | MoViNets: Mobile Video Networks for Efficient Video Recognition |
Model | Reference (Paper) |
---|---|
Transformer | Attention Is All You Need |
Model | Reference (Paper) |
---|---|
NHNet (News Headline generation model) | Generating Representative Headlines for News Stories |
Model | Reference (Paper) |
---|---|
MobileBERT | MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices |
pip
binary) master branch ofpip3 install tf-models-nightly
pip3 install tensorflow-text-nightly # when model uses `nlp` packages
pip3 install tf-models-official==2.8.0
pip3 install tensorflow-text==2.8.0 # when models in uses `nlp` packages
Starting from 2.9.x release, we release the modeling library as
tensorflow_models
package and users can import tensorflow_models
directly to
access to the exported symbols. If you are
using the latest nightly version or github code directly, please follow the
docstrings in the github.
Please follow the below steps before running models in this repository.
Our integration tests run with Python 3.7. Although Python 3.6 should work, we
don't recommend earlier versions.
Please check here for the
instructions
If you want to contribute, please review the contribution guidelines.
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https://readpaper.com/paper/2804047946
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