Instructions to use maher13/English_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maher13/English_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maher13/English_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maher13/English_ASR") model = AutoModelForCTC.from_pretrained("maher13/English_ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c2e8464863306fc2383fd056d5f1186d496728ebee86992b3e0858edfa91673
- Size of remote file:
- 2.8 kB
- SHA256:
- 4537ad44fc83c1031d005b0a238e0fc1a7fab1f329172ff0037e177e347e82c3
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