Instructions to use hiwden00/validateCode-1703-normal-tinyen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/validateCode-1703-normal-tinyen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/validateCode-1703-normal-tinyen")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/validateCode-1703-normal-tinyen") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/validateCode-1703-normal-tinyen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db355eaae402a331e9302f47626adc034ead86b6bd431e81933dc3524d62ecc7
- Size of remote file:
- 3.84 kB
- SHA256:
- 0ca705997d040f45786ca7684d9dbc3bd94eba9ca2bb792ee4b2a662116ded02
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