Instructions to use anas21/English4SpeechToTextModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anas21/English4SpeechToTextModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anas21/English4SpeechToTextModel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anas21/English4SpeechToTextModel") model = AutoModelForCTC.from_pretrained("anas21/English4SpeechToTextModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 028230552450bd766f5584e69555544fa9cb2c34f5aa300104151f788467854f
- Size of remote file:
- 3.96 kB
- SHA256:
- 69e5f700e7985274b77fc27e00d64d5644bb0c3b741193bb31851ade6f6034f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.