Instructions to use birgermoell/psst-libri960_big with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use birgermoell/psst-libri960_big with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="birgermoell/psst-libri960_big")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("birgermoell/psst-libri960_big") model = AutoModelForCTC.from_pretrained("birgermoell/psst-libri960_big", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
pssteval INFO: ASR metrics for split valid FER: 9.8% PER: 20.9%
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