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
Metadata
Release files for audio-flamingo 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| audio_flamingo-0.0.3.tar.gz | 6.2 kB | Without provenance | Details for audio_flamingo-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| audio_flamingo-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for audio_flamingo-0.0.3-py3-none-any.whl |
Total release size: 12.4 kB
Release files / audio_flamingo-0.0.3.tar.gz
| Download URL | audio_flamingo-0.0.3.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ce8f94ed6a4edaa05631a5e42ce47645a98792aedc54c22d9ac309f055faecd6
|
|
BLAKE2b-256 checksum How to use checksums |
810ced19e09199dc516035028509e35dd75ae9271aa8d13895ab973c1f342e54
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|
Release files / audio_flamingo-0.0.3-py3-none-any.whl
| Download URL | audio_flamingo-0.0.3-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c3bfda9840a88e7a59da33c2d66d5b51815e5b67dc6aba2bfcfcc181fb7d8409
|
|
BLAKE2b-256 checksum How to use checksums |
0ab8f5a549c7de7b265d667998537094e78434f98a8499336648207271f2ff61
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|
Security for audio-flamingo 0.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.