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README.md
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@@ -6,6 +6,11 @@ tags:
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- audio embeddings
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- convnext-audio
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- audioset
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---
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**ConvNeXt-Tiny-AT** is an audio tagging CNN model, trained on **AudioSet** (balanced+unbalanced subsets). It reached 0.471 mAP on the test set.
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@@ -36,7 +41,7 @@ import torchaudio
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from audioset_convnext_inf.pytorch.convnext import ConvNeXt
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model = ConvNeXt.from_pretrained("topel/ConvNeXt-Tiny-AT", use_auth_token=
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print(
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"# params:",
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- audio embeddings
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- convnext-audio
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- audioset
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inference: false
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extra_gated_prompt: "The collected information will help acquire a better knowledge of who is using our audio event tools. If relevant, please cite our Interspeech 2023 paper."
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extra_gated_fields:
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Company/university: text
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Website: text
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---
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**ConvNeXt-Tiny-AT** is an audio tagging CNN model, trained on **AudioSet** (balanced+unbalanced subsets). It reached 0.471 mAP on the test set.
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from audioset_convnext_inf.pytorch.convnext import ConvNeXt
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model = ConvNeXt.from_pretrained("topel/ConvNeXt-Tiny-AT", use_auth_token="ACCESS_TOKEN_GOES_HERE", map_location='cpu')
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print(
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"# params:",
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