Installation¶
Notes¶
Note
Urduhack is supported on the following Python versions
Python | 3.8 | 3.7 | 3.6 | 3.4 | 2.7 |
Urduhack | Yes | Yes | Yes |
Basic Installation¶
Note
Urduhack developed using Tensorflow. Its need Tensorflow cpu for prediction and for development and training the models its uses Tensorflow-gpu. following instructions will install Tensorflow
The easiest way to install urduhack is by pip install.
Installing with Tensorflow cpu version.:
$ pip install Urduhack[tf]
Installing with Tensorflow gpu version.:
$ pip install Urduhack[tf-gpu]
Package Dependencies¶
Having so many functionality, urduhack depends on a number of other packages. Try to avoid any kind of conflict. It is preferred that you create a virtual environment and install urduhack in that environment.
- Tensorflow > 2.0.0 Use for training, evaluating and testing deep neural network model.
- transformers Use for bert implementation for training and evaluation.
- tensorflow-datasets Use for download and prepare the dataset,read it into a model using the tf.data.Dataset API.
- Click With help of this library Urduhack commandline application developed.