Create README.md

README.md

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+---
+language: 
+  - English
+tags:
+- MusicGeneration
+---
+
+<!--Copyright 2020 The HuggingFace Team. All rights reserved.
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+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
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+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# Jukebox
+
+## Overview
+
+The Jukebox model was proposed in [Jukebox: A generative model for music](https://arxiv.org/pdf/2005.00341.pdf)
+by Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford,
+Ilya Sutskever.
+
+This model proposes a generative music model which can be produce minute long samples which can bne conditionned on
+artist, genre and lyrics.
+
+The abstract from the paper is the following:
+
+We introduce Jukebox, a model that generates
+music with singing in the raw audio domain. We
+tackle the long context of raw audio using a multiscale VQ-VAE to compress it to discrete codes,
+and modeling those using autoregressive Transformers. We show that the combined model at
+scale can generate high-fidelity and diverse songs
+with coherence up to multiple minutes. We can
+condition on artist and genre to steer the musical
+and vocal style, and on unaligned lyrics to make
+the singing more controllable. We are releasing
+thousands of non cherry-picked samples, along
+with model weights and code.
+
+Tips:
+
+This model is very slow for now, and takes 18h to generate a minute long audio. 
+
+This model was contributed by [Arthur Zucker](https://huggingface.co/ArthurZ).
+The original code can be found [here](https://github.com/openai/jukebox).