Instructions to use jvalero/wav2vec2-base-vinyl_condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvalero/wav2vec2-base-vinyl_condition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="jvalero/wav2vec2-base-vinyl_condition")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("jvalero/wav2vec2-base-vinyl_condition") model = AutoModelForAudioClassification.from_pretrained("jvalero/wav2vec2-base-vinyl_condition") - Notebooks
- Google Colab
- Kaggle
This model is a fine-tuned version of facebook/wav2vec2-base on a personal dataset.
This model is on construction and is going to be improved.
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