Instructions to use makhataei/emotion_recognition_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use makhataei/emotion_recognition_ru with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("makhataei/emotion_recognition_ru") model = Wav2Vec2ForSpeechClassification.from_pretrained("makhataei/emotion_recognition_ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 260 Bytes
31283a1 | 1 2 3 4 5 6 7 8 9 10 11 | {
"do_normalize": true,
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0,
"processor_class": "Wav2Vec2ProcessorWithLM",
"return_attention_mask": true,
"sampling_rate": 16000
}
|