Metadata-Version: 2.1
Name: xt-models
Version: 0.2.0
Summary: Models and model utilities for common ML tasks
Home-page: https://github.com/XtractTech/xt-models
Author: Xtract AI
Author-email: info@xtract.ai
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Provides: xt_models
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: transformers

# xt-models

## Description

This repo contains common models and utilities for working with ML tasks, developed by [Xtract AI](https://xtract.ai/).



More to come.

## Installation
From PyPi:
```bash
pip install xt-models
```

From source:
```bash
git clone https://github.com/XtractTech/xt-models.git
pip install ./xt-models
```

## Usage


#### Grabbing a model

```python
from xt_cv.models import PSPNet

model = PSPNet(sizes=(1, 2, 3, 6), psp_size=2048, deep_features_size=1024, backend='resnet50')
```

#### Implementing a new model

If you are having to always copy and paste the same model code for different projects, simply add the model code to the `models` directory, and import it in the `models/__init__.py` file.

## Data Sources

[descriptions and links to data]

## Dependencies/Licensing

[list of dependencies and their licenses, including data]

## References

[list of references]


