Instructions to use stillerman/stammer-libristutter-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stillerman/stammer-libristutter-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stillerman/stammer-libristutter-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stillerman/stammer-libristutter-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("stillerman/stammer-libristutter-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09d1f009ae3701d44120241f08db851500a665cefac8308b86412ba04f4fa416
- Size of remote file:
- 5.37 kB
- SHA256:
- 5da4b9f3b690180ec7e7f90be1b6b6ab9faeafe5c95f993277845efbcd98326b
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