Instructions to use hsali/wav2vec2_e_emo__d100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsali/wav2vec2_e_emo__d100 with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("hsali/wav2vec2_e_emo__d100") model = Wav2Vec2ForSpeechClassification.from_pretrained("hsali/wav2vec2_e_emo__d100", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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