Instructions to use rmayormartins/speech-accent-pt-br-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmayormartins/speech-accent-pt-br-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="rmayormartins/speech-accent-pt-br-classifier")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("rmayormartins/speech-accent-pt-br-classifier") model = AutoModelForAudioClassification.from_pretrained("rmayormartins/speech-accent-pt-br-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52c1e80dc644c82737c492fd74b280e65174278a4159e8bfdc1997af872c570a
- Size of remote file:
- 378 MB
- SHA256:
- f804495132c0ba1d61ce5c3b8b7d6cc53b49eb3be8cf95357c0a57f78e495421
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