Installation¶
Note
Urduhack is supported on the following Python versions
| Python | 3.8 | 3.7 | 3.6 | 3.4 | 2.7 |
| Urduhack | Yes | Yes | Yes |
Install Urduhack via pip¶
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 ~= 2.3 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.
Downloading Models¶
Pythonic Way¶
- You can download model using Urduhack code.
import urduhack urduhack.download()
Command line¶
- To download the models all you have to do is run this simple command in the command line.
$ urduhack download
This command will download the models which will be used by urduhack.