Instructions to use phi0108/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="phi0108/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("phi0108/audio_classification") model = AutoModelForAudioClassification.from_pretrained("phi0108/audio_classification") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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@@ -6,6 +6,7 @@ datasets:
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- minds14
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metrics:
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- accuracy
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model-index:
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- name: audio_classification
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results: []
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- minds14
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metrics:
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- accuracy
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base_model: facebook/wav2vec2-base
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model-index:
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- name: audio_classification
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results: []
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