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:
- cc8ecf47aab0d872d9c7cce822babe103aafa57e3636c63ea590fa52f208bcc1
- Size of remote file:
- 4.09 kB
- SHA256:
- 3056f17b4af687836b7c99137522ec2db227520c468d356909480d6ffe9f1694
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