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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a61d9c5a1f5fd6655973b037bb9e6df88ebf4d1cd0b088745b803c6ec0858544
- Size of remote file:
- 292 kB
- SHA256:
- 52bdbcdf250f235c7083aa8ee2b6ec546b6161954850ade20d0ef97fc8e39037
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