Instructions to use FidelOdok/doa_model_TL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FidelOdok/doa_model_TL3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="FidelOdok/doa_model_TL3")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("FidelOdok/doa_model_TL3") model = AutoModelForAudioClassification.from_pretrained("FidelOdok/doa_model_TL3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
pytorch_model.bin
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runs/Jun04_12-33-37_b4a4a3b27f90/events.out.tfevents.1685882512.b4a4a3b27f90.1354.0
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