Instructions to use Soupis/small-trsc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soupis/small-trsc-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Soupis/small-trsc-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Soupis/small-trsc-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/small-trsc-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2b01376a4187eb757e960c98f19bbbe863e09f5b2bcd24163d0f6eb2252a0b5
- Size of remote file:
- 5.3 kB
- SHA256:
- a741723609b6491c23409776a5f3386dd24e7b441336793b1f4f934a69b38558
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