Instructions to use selinawisco/result_com_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selinawisco/result_com_sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="selinawisco/result_com_sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("selinawisco/result_com_sample") model = AutoModelForAudioClassification.from_pretrained("selinawisco/result_com_sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, step 1000
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initial commit
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