Instructions to use Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c") model = AutoModelForAudioClassification.from_pretrained("Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-3c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 19
Browse files
model.safetensors
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