[](https://discord.gg/qUtxnK2NMf)
# Reka Torch
Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch. [PAPER LINK](https://publications.reka.ai/reka-core-tech-report.pdf)
## Install
`pip3 install -U reka-torch`
## Usage
```python
import torch # Importing the torch library
from reka_torch.model import Reka # Importing the Reka model from the reka_torch package
text = torch.randint(0, 10000, (2, 512)) # Generating a random tensor of shape (2, 512) with values between 0 and 10000
img = torch.randn(2, 3, 224, 224) # Generating a random tensor of shape (2, 3, 224, 224) with values from a normal distribution
audio = torch.randn(2, 1000) # Generating a random tensor of shape (2, 1000) with values from a normal distribution
video = torch.randn(2, 3, 16, 224, 224) # Generating a random tensor of shape (2, 3, 16, 224, 224) with values from a normal distribution
model = Reka(512) # Creating an instance of the Reka model with input size 512
out = model(text, img, audio, video) # Forward pass through the model with the input tensors
print(out.shape) # Printing the shape of the output tensor
```
# License
MIT
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