We suggest installing Docker <https://docker.com>_ to run the code. Then you can enter a bash prompt within the image as follows:
.. code:: bash
docker run -it alexjc/nuclai16:lstm
There is no output from this docker container, just text printed on the console.
Using pre-trained data:
.. code:: bash
python tweet.py --load lstm512
python tweet.py --load lstm256x3
Training it yourself:
.. code:: bash
python tweet.py --train --save lstm64
.. code:: bash
python s2s.py
.. code:: bash
python reply.py
Content type
Image
Digest
Size
648.8 MB
Last updated
about 10 years ago
docker pull alexjc/nuclai16:lstm