Instructions to use DRAGOO/mounir3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRAGOO/mounir3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DRAGOO/mounir3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DRAGOO/mounir3") model = AutoModelForCTC.from_pretrained("DRAGOO/mounir3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b794475a2bdfd0affa3fb8150b13b8d3abeef60453713906a88d1e5632504f2a
- Size of remote file:
- 3.58 kB
- SHA256:
- 6ac48a44f8bf84ef723b292887c350a10f27ccf2837a216824a371fde8141bdb
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