Instructions to use ridwansukri/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ridwansukri/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ridwansukri/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ridwansukri/audio_classification") model = AutoModelForAudioClassification.from_pretrained("ridwansukri/audio_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5e513c550b68a56cad8226ed611f859b5ae9c630c763d0cde90f8c8a2436b88
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size 378314656
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