Instructions to use hamees/AsrTaskModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamees/AsrTaskModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hamees/AsrTaskModel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hamees/AsrTaskModel") model = AutoModelForCTC.from_pretrained("hamees/AsrTaskModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9246682647cff7867a276b42ba8a200102ae44f815f1bb635a2a123cba00ed4a
- Size of remote file:
- 378 MB
- SHA256:
- 45c189442abe726e1abda6f4a7ed09b47aaf1085445afee19d678ef5f7025c3c
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