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:
- e0d6b85573c1978c94dcc6e35b84db80504e44aadfcbdee08364decfc8be607f
- Size of remote file:
- 3.06 kB
- SHA256:
- 12e65b5909830a2a7f573e5411fc93ee101106817c5ddf68703fb9140a5da846
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