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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5560d736e1c8518a9b7c068c821baad85deaa95e4dc5b046a1c536291266795
- Size of remote file:
- 378 MB
- SHA256:
- c0b869b6a400123b209dd373a96f65aa28e8997a63a5eea49e90d52b895c793c
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