Instructions to use pnparam/dys_asr_100h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pnparam/dys_asr_100h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pnparam/dys_asr_100h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pnparam/dys_asr_100h") model = AutoModelForCTC.from_pretrained("pnparam/dys_asr_100h") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68055d53fe440354b138d82f126820bd3b283977bce05b927f478d9e3534da8c
- Size of remote file:
- 3 kB
- SHA256:
- 9375ca4cef43ca34850845a1ee453b1455b6538d73a9d3ae06f36d7c3d13d3c6
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