Automatic Speech Recognition
Transformers
PyTorch
data2vec-audio
abdusahmbzuai/arabic_speech_massive_300hrs
Generated from Trainer
Instructions to use abdusah/aradia-ctc-data2vec-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-data2vec-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-data2vec-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("abdusah/aradia-ctc-data2vec-ft") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-data2vec-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1698857aff006152a6d8934ffd927b010040343d89b474590e52b0bbc90767e
- Size of remote file:
- 3.12 kB
- SHA256:
- 4f0dce0f238d037b26203bde22c5419ebbe6a313635f2370c7bb72475880c097
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