Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use dhaselhan/audio-commands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhaselhan/audio-commands with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="dhaselhan/audio-commands")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("dhaselhan/audio-commands") model = AutoModelForAudioClassification.from_pretrained("dhaselhan/audio-commands", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd0d45aa51e7dffb1e60817197d8dd42c3044f651f9147a27d7fcde888551576
- Size of remote file:
- 342 MB
- SHA256:
- 856c18109a609dbf00befc808f96bc162bd151f9ac9aa285c08775344f5206db
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