Instructions to use CUAIStudents/Adapt-Ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CUAIStudents/Adapt-Ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CUAIStudents/Adapt-Ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CUAIStudents/Adapt-Ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("CUAIStudents/Adapt-Ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5bce9446838e4ff468a4058cb8b8dae8e45aed813e00b38db884d593d7db375
- Size of remote file:
- 3.24 GB
- SHA256:
- 79c9d7eed88efb997fc2005b90021bf39ec069d54854f32caee7d179254d14e7
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