Instructions to use hf-internal-testing/tiny-random-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-wav2vec2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-wav2vec2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a397c163ca332eb28900c115af57db9e1f3f57769f40c48441bdc7124ff3d7
- Size of remote file:
- 829 kB
- SHA256:
- 0a29f64d337461c175fb49e5086bbfb50ce24f8c954964b496f12b525337696e
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