Environment Setup For Machine Translation (from Hinglish to English)

'keras-tranformer' package is available on PyPI.
And, not at anaconda.org as of Nov 2022.







Contents of env.yml File
Original File

name: mt
channels:
  - conda-forge
dependencies:
  - pip
  - ipykernel
  - jupyter
  - pandas
  - tensorflow
  
  - pip:
    - keras-transformer

Minimal

name: mt
channels:
  - conda-forge
dependencies:
  - pip
  - tensorflow

Command to create the environment using the env.yml file

$ conda env create -f env.yml

Checking Package Versions

1. TensorFlow

(base) ashish@ashish:~/Desktop$ conda activate mt
(mt) ashish@ashish:~/Desktop$ pip show tensorflow

Name: tensorflow
Version: 2.10.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/ashish/anaconda3/envs/mt/lib/python3.10/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, keras-preprocessing, numpy, opt-einsum, packaging, protobuf, setuptools, six, tensorboard, tensorflow-estimator, termcolor, typing-extensions, wrapt
Required-by: 
  
2. keras-transformer

(mt) ashish@ashish:~/Desktop$ pip install keras-transformer
(mt) ashish@ashish:~/Desktop$ pip show keras-transformer

Name: keras-transformer
Version: 0.40.0
Summary: Transformer implemented in Keras
Home-page: https://github.com/CyberZHG/keras-transformer
Author: CyberZHG
Author-email: CyberZHG@users.noreply.github.com
License: MIT
Location: /home/ashish/anaconda3/envs/mt/lib/python3.10/site-packages
Requires: keras-embed-sim, keras-layer-normalization, keras-multi-head, keras-pos-embd, keras-position-wise-feed-forward
Required-by: 

Setting up Jupyter Lab and ipykernel

$ conda install -c conda-forge jupyter jupyterlab ipykernel
$ python -m ipykernel install --user --name mt
Installed kernelspec mt in /home/ashish/.local/share/jupyter/kernels/mt

Tags: Natural Language Processing,Technology,