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:
- 9ef883eb0a5a3440669cb29aabed79e3a2c0838763d6dfbbbdee18c8140c6964
- Size of remote file:
- 1.34 MB
- SHA256:
- c89a079373837c5761d1d75c73c04f2637e5476a0b5abc9ddeed7f65ea03e190
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