Instructions to use hts98/gender_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/gender_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hts98/gender_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hts98/gender_classification") model = AutoModelForAudioClassification.from_pretrained("hts98/gender_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/May26_15-21-33_aisia/events.out.tfevents.1685089438.aisia.4690.0
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