Instructions to use pnparam/dys_asr_960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pnparam/dys_asr_960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pnparam/dys_asr_960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pnparam/dys_asr_960h") model = AutoModelForCTC.from_pretrained("pnparam/dys_asr_960h") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 484dd860deda254e588da16c46b4af7a0c32cfa566c7bd90c52d7cb02306c126
- Size of remote file:
- 1.26 GB
- SHA256:
- 0dc10a67ecbf296d1b0405a1381c2047e1a51fcee9e91ab9da3370eadfd631d1
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