Instructions to use aherzberg/ser_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aherzberg/ser_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aherzberg/ser_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aherzberg/ser_model") model = AutoModelForAudioClassification.from_pretrained("aherzberg/ser_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Feb26_12-02-21_speech-emotion-recognition-classifier/events.out.tfevents.1677413310.speech-emotion-recognition-classifier
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