Bark Bark is a transformer based text to audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. To support the research community, we are providing access to pretrained model checkpoints ready for inference. The original github repo and model card can be found here. This model is meant for research purposes only. The model output is not censored and the authors do not endorse the opinions in the generated content. Use at your own risk. Two checkpoints are released: small large (this checkpoint) Example Try out Bark yourself! Bark Colab: Hugging Face Colab: Hugging Face Demo: 🤗 Transformers Usage You can run Bark locally with the 🤗 Transformers library from version 4.31.0 onwards. 1. First install the 🤗 Transformers library and scipy: 2. Run inference via the Text to Speech (TTS) pipeline. You can infer the bark model via the TTS pipeline in just a few lines of code! 3. Run inference via the Transformers modelling code. You can use the processor + generate code to convert text into a…
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