Audio Classification
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
italian-speech-corpus
english-speech-corpus
arabic-speech-corpus
spontaneous
PyTorch
Instructions to use alefiury/wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alefiury/wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="alefiury/wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("alefiury/wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition") model = AutoModelForAudioClassification.from_pretrained("alefiury/wav2vec2-xls-r-300m-pt-br-spontaneous-speech-emotion-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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