Instructions to use chaanks/wav2vec2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaanks/wav2vec2-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaanks/wav2vec2-small")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("chaanks/wav2vec2-small") model = AutoModel.from_pretrained("chaanks/wav2vec2-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4984245fc7ad13b65e320cd47d79f647b60aea3aa6d16948153f5455e388137b
- Size of remote file:
- 378 MB
- SHA256:
- b988eb36569cef3519c55e31bcc19cec2e77c8630c8e45084d66d86eb516285d
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