Instructions to use Soupis/small-trsc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/small-trsc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/small-trsc-3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/small-trsc-3") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/small-trsc-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d137a3a04edb881531723566b02fc99b43f5cc47548d670ec37b76bb385a0aca
- Size of remote file:
- 5.3 kB
- SHA256:
- 97bc168df2b12b853183959173a29da8be623a035dd7860095e78d0a252bbdf8
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