Instructions to use hf-internal-testing/tiny-random-SEWDForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SEWDForCTC 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-SEWDForCTC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-SEWDForCTC") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-SEWDForCTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 272716c679329d0cf6357a0b60bf854d7f31ff5ebd234db42c79d3fc50fe9d5f
- Size of remote file:
- 275 kB
- SHA256:
- a13d7be91bb7029b8aa4713b5ff326456cb71197a5d6caffd70a3386293d7666
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