Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
abdusahmbzuai/arabic_speech_massive_300hrs
Generated from Trainer
Instructions to use abdusah/aradia-ctc-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-v1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("abdusah/aradia-ctc-v1") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0be17efaa31f79b9d7cd49defda1accfa7446149d09600ed0e0ced029fd3ec13
- Size of remote file:
- 1.26 GB
- SHA256:
- c36b6d150f315a7987db7a78821f1756311ab1fcd31c53c7da124a507a2c8782
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.