Metadata-Version: 2.1
Name: qformer
Version: 0.0.1
Summary: qformer - Pytorch
Home-page: https://github.com/kyegomez/qformer
License: MIT
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering
Author: Kye Gomez
Author-email: kye@apac.ai
Requires-Python: >=3.6,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: einops
Requires-Dist: swarms
Requires-Dist: torch
Requires-Dist: zetascale
Project-URL: Documentation, https://github.com/kyegomez/qformer
Project-URL: Repository, https://github.com/kyegomez/qformer
Description-Content-Type: text/markdown

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)


# Qformer
Implementation of Qformer from BLIP2 in Zeta Lego blocks.

## Install
`pip3 install qformer`


## Usage
```python
import torch
from qformer import ImgBlock


# 3d tensor, B x SEQLEN x DIM
x = torch.randn(1, 32, 1024)
image = torch.randn(1, 32, 1024)

attn = ImgBlock(1024, 8, 1024)
out = attn(x, image)
print(out.shape)
```


# License
MIT




