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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bhaveen/Musical-Instrument-Classification") model = AutoModelForAudioClassification.from_pretrained("Bhaveen/Musical-Instrument-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1800/pytorch_model.bin from Bhaveen/Musical-Instrument-Classification: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Bhaveen/Musical-Instrument-Classification/resolve/main/checkpoint-1800/pytorch_model.bin
- Command line
-
hf download hf://Bhaveen/Musical-Instrument-Classification/checkpoint-1800/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bhaveen/Musical-Instrument-Classification/resolve/main/checkpoint-1800/pytorch_model.bin
378 MB
- Xet hash:
- 03161bb0d397112cbcc5d8374f7a85b34f81818b0c313fc3236d8f03eef119cd
- Size of remote file:
- 378 MB
- SHA256:
- a4099e176de4c47fe93a1e225e91d8a67cfba132a907fd97e017bf86dd34ccc5
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