Audio Classification
Transformers
Safetensors
PyTorch
ONNX
English
wav2vec2
audio
keyword-spotting
kws
sagemaker
streaming-inference
realtime
Instructions to use Amirhossein75/Keyword-Spotting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Keyword-Spotting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Amirhossein75/Keyword-Spotting")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Amirhossein75/Keyword-Spotting") model = AutoModelForAudioClassification.from_pretrained("Amirhossein75/Keyword-Spotting") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fefbd6f49cbe3eaf6159999e6070c806ddc029029d7751c523fbbb186f6e5c00
- Size of remote file:
- 5.71 kB
- SHA256:
- c44fcfb41debf26fce941fad23b9e5a542d82c0444002c73f26ad8953005d1f1
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