Instructions to use thisiskeithkwan/whisper_small_spaced123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thisiskeithkwan/whisper_small_spaced123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thisiskeithkwan/whisper_small_spaced123")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thisiskeithkwan/whisper_small_spaced123") model = AutoModelForSpeechSeq2Seq.from_pretrained("thisiskeithkwan/whisper_small_spaced123") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25f92f15f5727e295841109a84b6aaf9fe74015fd03659d4f53c51b7b83cd491
- Size of remote file:
- 4.16 kB
- SHA256:
- 7d3dc0948da0a1cfbde2cdd998d5cb8a9f27f2a6612a1e65ad79a9b0c3bf2782
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