Audio Classification
Transformers
PyTorch
Safetensors
English
wav2vec2
audio
musical-instruments
Eval Results (legacy)
Instructions to use Bhaveen/Musical-Instrument-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bhaveen/Musical-Instrument-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Bhaveen/Musical-Instrument-Classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bhaveen/Musical-Instrument-Classification") model = AutoModelForAudioClassification.from_pretrained("Bhaveen/Musical-Instrument-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ba6c0b0afa5e491b122f772f9b2a64d5fa59ff11ffe8a6b7505f25e8f4f4295
- Size of remote file:
- 378 MB
- SHA256:
- 236c686b4c2cca014c3f6ed3dca435002ce75a5f74c3bf6e43be343748299caa
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