Instructions to use midoiv/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use midoiv/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="midoiv/results")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("midoiv/results") model = AutoModelForAudioClassification.from_pretrained("midoiv/results") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 25
Browse files
pytorch_model.bin
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runs/Apr01_15-00-38_90bce822a50f/events.out.tfevents.1711983648.90bce822a50f.17.2
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