Instructions to use JovialValley/model_syllable_onSet0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JovialValley/model_syllable_onSet0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JovialValley/model_syllable_onSet0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("JovialValley/model_syllable_onSet0") model = AutoModelForCTC.from_pretrained("JovialValley/model_syllable_onSet0") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b4d590779a01dbff821ade2e9caf0b0497029e9fa834a6f68ea0ca9a7aba74b
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size 1261836116
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