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:
- 26d6f3ce3a67d149d08c6b7ab44c03f5694b680cd653ddc2e79bbfa8134d7c38
- Size of remote file:
- 151 MB
- SHA256:
- 9805b0b03b94101fd6888fc3e1f12ae632a06f98681e7c8bc5fe778c4dd337cb
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