From 17cf17c4ec7c4d083a3ac50a3c98d44088434cee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Enrique=20Hern=C3=A1ndez=20Calabr=C3=A9s?=
 <ehcalabres@gmail.com>
Date: Tue, 21 Sep 2021 20:59:32 +0000
Subject: [PATCH] Update README.md

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 README.md | 7 -------
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   name: wav2vec2-lg-xlsr-en-speech-emotion-recognition
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-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
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 # Speech Emotion Recognition By Fine-Tuning Wav2Vec 2.0
 
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-__Important:__ This model it's not yet implementable due to missing built-in functions in HuggingFace for speech classification tasks. I'm working on the instructions of how to use it and a repository where the code will be available soon. Thank you anyway!
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 The model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) for a Speech Emotion Recognition (SER) task.
 
 The dataset used to fine-tune the original pre-trained model is the [RAVDESS dataset](https://zenodo.org/record/1188976#.YO6yI-gzaUk). This dataset provides 1440 samples of recordings from actors performing on 8 different emotions in English, which are: