Audio Classification
Transformers
Safetensors
English
tone_cnn
feature-extraction
speech-commands
cnn
audio
custom_code
Eval Results (legacy)
Instructions to use harpertoken/tone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/tone with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="harpertoken/tone", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harpertoken/tone", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tone_grid.png from harpertoken/tone: direct link, hf CLI and curl.
- Browser
- Download file 79.8 kB
-
https://huggingface.co/harpertoken/tone/resolve/main/tone_grid.png
- Command line
-
hf download hf://harpertoken/tone/tone_grid.png
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curl -L -o tone_grid.png https://huggingface.co/harpertoken/tone/resolve/main/tone_grid.png
79.8 kB
