Skip to main content

Paper - Pytorch

Project description

Multi-Modality

AudioFlamingo

Implementation of the model "AudioFlamingo" from the paper: "Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities". PAPER LINK

Install

pip3 install audio-flamingo

Usage

import torch
from audio_flamingo.model import AudioFlamingo

# Generate a random input sequence
text = torch.randint(0, 256, (1, 1024))
audio = torch.randn(1, 16000)

# Initialize AudioFlamingo model
model = AudioFlamingo(
    dim=512,
    num_tokens=256,
    max_seq_len=1024,
    heads=8,
    depth=6,
    dim_head=64,
    dropout=0.1,
    context_dim=512,
)

# Pass the input sequence through the model
output = model(text, audio)  # (1, 1024, 256)

# Print the output shape
print(output.shape)
# Path: audio_flamingo/model.py

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

audio_flamingo-0.0.3.tar.gz (6.2 kB view hashes)

Uploaded Source

Built Distribution

audio_flamingo-0.0.3-py3-none-any.whl (6.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page