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Hugging Face for Audio. A one-stop shop for all things Audio at HF. Stay tuned for loads of interesting updates! Open ASR Leaderboard - OUT NOWW!
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In this course, we will explore how transformers can be applied to audio data. You'll learn how to use them to tackle a range of audio-related tasks. Whether ...
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How to create an audio dataset in HuggingFace?
Hugging Face for Audio: Resources ✨. Audio transformers course: https://huggingface.co/learn/audio-course/chapter0/introduction#course-structure.
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There are several methods for creating and sharing an audio dataset: Create an audio dataset from local files in python with Dataset.push_to_hub().
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You can load an audio dataset using the Audio feature that automatically decodes and resamples the audio files when you access the examples. Audio decoding is ...
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This guide will show you how to: Finetune Wav2Vec2 on the MInDS-14 dataset to classify speaker intent. Use your finetuned model for inference. To see all ...
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Audio to Audio repository template. This is a template repository for Audio to Audio to support generic inference with Hugging Face Hub generic Inference ...
This guide shows specific methods for processing audio datasets. Learn how to: Resample the sampling rate. Use map() with audio datasets. For a guide on how to ...
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... HF diffusion class 创作。 + +原文 https://github.com/huggingface ... co/docs/diffusers/training/dreambooth) 了解详情 ... URL。 + diff --git a/markdown/unit1 ...
In this tutorial, you will learn how to use the Notus model on the HF Inference Endpoints to create a legal preference dataset based on Retrieval Augmented ...
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