Instructions to use nilc-nlp/psst-model-4e-1s-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nilc-nlp/psst-model-4e-1s-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nilc-nlp/psst-model-4e-1s-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nilc-nlp/psst-model-4e-1s-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("nilc-nlp/psst-model-4e-1s-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 421425b96462a0afaf5c65ce57f8bfb9256d26bd7af2bd4194acf2b1f15921cd
- Size of remote file:
- 5.11 kB
- SHA256:
- 91c00fe537bec7a2a1f28d3a865f6384369eca1c2dc4d393e096e5a1e49444f8
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