Instructions to use IABDs8a/whisper-tiny-top3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IABDs8a/whisper-tiny-top3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IABDs8a/whisper-tiny-top3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("IABDs8a/whisper-tiny-top3") model = AutoModelForSpeechSeq2Seq.from_pretrained("IABDs8a/whisper-tiny-top3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aed4c84964bd6cbaf7343f01d8d311dd54eb1231d33d27205612d2e148a49e33
- Size of remote file:
- 151 MB
- SHA256:
- 6051723bfdb2dab69ff25d13802ce7ae7d380125d6a812e049b2b88801035597
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