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:
- e19034d082e8b1c7dcdc3126c9098cc13c34156aef576e606b0683dd4f08f873
- Size of remote file:
- 5.11 kB
- SHA256:
- 91c2d4967967618a5d2baf744c22b1be417692d72dcd7aa0adb7c08dfc27c87a
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