Model Details
Full Model IDdima806/music_genres_classification
Pipeline / Taskaudio-classification
Librarytransformers
Downloads (all-time)175.4K
Likes39
Last Modified10/19/2024
Author / Orgdima806
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("audio-classification", model="dima806/music_genres_classification")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchsafetensorswav2vec2audio-classificationbase_model:facebook/wav2vec2-base-960hbase_model:finetune:facebook/wav2vec2-base-960hlicense:apache-2.0endpoints_compatibleregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: audio-classification
This model is designed for the audio-classification task. Explore more models for this use case.
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⬇ Downloads175.4K
����� Community Likes39
🛠�� Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.