Reka Torch
Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch. PAPER LINK
Install
pip3 install -U reka-torch
Usage
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
Metadata
Release files for reka-torch 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| reka_torch-0.0.2.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| reka_torch-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / reka_torch-0.0.2.tar.gz
| Download URL | reka_torch-0.0.2.tar.gz |
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| Size | 4.5 kB |
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