Instructions to use slplab/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="slplab/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("slplab/results") model = AutoModelForAudioClassification.from_pretrained("slplab/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 400
Browse files
pytorch_model.bin
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runs/Sep07_20-29-08_oem-WS-C621E-SAGE-Series/events.out.tfevents.1694086158.oem-WS-C621E-SAGE-Series.2135351.0
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