declare-lab
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tango-full

Inference Endpoints

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soujanyaporia commited on Jun 10

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@@ -14,6 +14,7 @@ pipeline_tag: text-to-audio
 **TANGO** can generate realistic audios including human sounds, animal sounds, natural and artificial sounds and sound effects from textual prompts. We use the frozen instruction-tuned LLM Flan-T5 as the text encoder and train a UNet based diffusion model for audio generation. We outperform current state-of-the-art models for audio generation across both objective and subjective metrics. We release our model, training, inference code and pre-trained checkpoints for the research community.
 📣 We recently released **Tango 2**. Access it [here](https://huggingface.co/declare-lab/tango2).
 📣 We are releasing **Tango-Full** which was pre-trained on **TangoPromptBank**.
 ## Code

 **TANGO** can generate realistic audios including human sounds, animal sounds, natural and artificial sounds and sound effects from textual prompts. We use the frozen instruction-tuned LLM Flan-T5 as the text encoder and train a UNet based diffusion model for audio generation. We outperform current state-of-the-art models for audio generation across both objective and subjective metrics. We release our model, training, inference code and pre-trained checkpoints for the research community.
 📣 We recently released **Tango 2**. Access it [here](https://huggingface.co/declare-lab/tango2).
 📣 We are releasing **Tango-Full** which was pre-trained on **TangoPromptBank**.
 ## Code