Model Card: DCGAN with Fastai
Model Description
This model is a Deep Convolutional Generative Adversarial Network (DCGAN) implemented using the fastai library. DCGANs are a type of GAN (Generative Adversarial Network) where both the generator and discriminator are implemented using convolutional neural networks (CNNs). This model can generate realistic images after being trained on a dataset of real images.
Model Details
- Model Type: Deep Convolutional Generative Adversarial Network (DCGAN)
- Library Used: fastai
- License: MIT
Intended Use
The DCGAN model is intended for image generation tasks. It can be used for:
- Generating new images from a learned distribution.
- Enhancing image datasets for training other models.
- Creative applications such as art generation.
How to Use
Installation
To use this model, you need to install the fastai library:
pip install fastai
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.