Instructions to use enankobh1/whisper-tiny-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enankobh1/whisper-tiny-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="enankobh1/whisper-tiny-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("enankobh1/whisper-tiny-ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("enankobh1/whisper-tiny-ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbdb40af246d6b58fac5498fff42803dd537ee810300296ea705ce6e883f748d
- Size of remote file:
- 3.63 kB
- SHA256:
- d368076e37600f23aa39706166e916a537be979f3abe8b8aa50112e97ba61e2d
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