Instructions to use mo-thecreator/wav2vec2-base-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mo-thecreator/wav2vec2-base-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mo-thecreator/wav2vec2-base-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mo-thecreator/wav2vec2-base-finetuned") model = AutoModelForAudioClassification.from_pretrained("mo-thecreator/wav2vec2-base-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a42dbf9d62fb9e34147e2866d586062b60a42287a03cc4d6c8c040b228686430
- Size of remote file:
- 4.98 kB
- SHA256:
- 59280f35a481a00090392c6dd09cebce4b6c9be6dd3aaf5485b2b2d09e13db95
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