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wav2vec2-large-robust-24-ft-age-gender

Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
speech
audio
age-recognition
gender-recognition
Inference Endpoints
Model card Files Community
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hagenw commited on
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10d6099
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verified ·
1 Parent(s): f1a3370

Fix ONNX link in README

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  1. README.md +1 -1
README.md CHANGED
@@ -28,7 +28,7 @@ on [aGender](https://paperswithcode.com/dataset/agender),
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  [Timit](https://catalog.ldc.upenn.edu/LDC93s1) and
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  [Voxceleb 2](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html).
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  For this version of the model we trained all 24 transformer layers.
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- An [ONNX](https://onnx.ai/") export of the model is available from
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  [doi:10.5281/zenodo.7761387](https://doi.org/10.5281/zenodo.7761387).
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  Further details are given in the associated [paper](https://arxiv.org/abs/2306.16962)
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  and [tutorial](https://github.com/audeering/w2v2-age-gender-how-to).
 
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  [Timit](https://catalog.ldc.upenn.edu/LDC93s1) and
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  [Voxceleb 2](https://www.robots.ox.ac.uk/~vgg/data/voxceleb/vox2.html).
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  For this version of the model we trained all 24 transformer layers.
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+ An [ONNX](https://onnx.ai/) export of the model is available from
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  [doi:10.5281/zenodo.7761387](https://doi.org/10.5281/zenodo.7761387).
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  Further details are given in the associated [paper](https://arxiv.org/abs/2306.16962)
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  and [tutorial](https://github.com/audeering/w2v2-age-gender-how-to).