File size: 844 Bytes
78b8054
779d0de
dbcab23
 
 
78b8054
0ea1873
a189727
78b8054
 
01f0475
b790e02
4234688
 
 
d8afa22
4234688
 
eb9ef09
 
85a1677
78b8054
 
a189727
 
01f0475
 
 
a189727
01f0475
 
 
 
a189727
01f0475
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
---
title: VampNet
emoji: 🎶
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.24.0
python_version: 3.11
app_file: app.py
pinned: false
license: cc-by-nc-sa-4.0
short_description: Remixes and extends audio by masked generation
tags:
  - category:generation
  - subcategory:infilling
  - domain:music
  - input:audio
  - output:audio
  - sample-rate:44100
  - channels:mono
  - sound-effects
---

# VampNet

Remixes and extends audio by masked acoustic token modeling, with
[VampNet](https://github.com/hugofloresgarcia/vampnet) and its fine-tuned
models.

The code is MIT. The pretrained weights are
[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), as are
models fine-tuned from them, so results cannot be used commercially and must be
shared alike.

A HARP deployment. See https://github.com/TEAMuP-dev/HARP