Instructions to use GroupSix/whisper-small-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroupSix/whisper-small-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GroupSix/whisper-small-sv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GroupSix/whisper-small-sv") model = AutoModelForSpeechSeq2Seq.from_pretrained("GroupSix/whisper-small-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca8ad2479408ace932338e2e3595295e64d000ab47e3e01fe537bf207e5ef9cb
- Size of remote file:
- 4.92 kB
- SHA256:
- 464befdf6fbee101e0237f0116e2f012057c7c8bd38fc2f89a434220135ec04a
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