Instructions to use Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis") model = AutoModelForAudioClassification.from_pretrained("Supreeta03/wav2vec2-base-CREMAD-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
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