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+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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+# Image files - uncompressed
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README.md

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+---
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+widget:
+- text: Screenshot
+  output:
+    url: images/model.png
+base_model: luisotorres/hubert_gtzan
+instance_prompt: DistilHuBERT, Audio Encoder, Transfer Learning
+license: mit
+---
+# HuBERT-Genre-Clf
+
+<Gallery />
+
+## Model description 
+
+This model is a fine-tuned version of DistilHuBERT for audio genre classification tasks. DistilHuBERT is a distilled variant of the HuBERT model, optimized for efficient and effective audio processing. This classifier is capable of categorizing audio files into various musical genres, leveraging the powerful representations learned by DistilHuBERT.
+
+## Trigger words
+
+You should use `DistilHuBERT` to trigger the image generation.
+
+You should use `Audio Encoder` to trigger the image generation.
+
+You should use `Transfer Learning` to trigger the image generation.
+
+
+## Download model
+
+Weights for this model are available in Safetensors,PyTorch format.
+
+[Download](/danilotpnta/HuBERT-Genre-Clf/tree/main) them in the Files & versions tab.