Automatic Speech Recognition
Transformers
PyTorch
hubert
abdusahmbzuai/arabic_speech_massive_300hrs
Generated from Trainer
Instructions to use abdusah/aradia-ctc-hubert-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-hubert-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-hubert-ft")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("abdusah/aradia-ctc-hubert-ft") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-hubert-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf1e2b531ca89aec5f0191e389098b3ef26528bdc819cfe66ecf722619159110
- Size of remote file:
- 1.26 GB
- SHA256:
- 02a412dc988444304cf42eb79899fdc9764d2e6d7c09d3fb3c1a8eb1885169aa
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