Instructions to use Anas2000/hope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anas2000/hope with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Anas2000/hope")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Anas2000/hope") model = AutoModelForCTC.from_pretrained("Anas2000/hope", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f8e648c63cf89d980cf2588bcd54795a8688ebf61603be36fb6b12732fb62c0
- Size of remote file:
- 1.26 GB
- SHA256:
- fcca0f8ebd1d036b6ad595b8fc0c2be8905e80385a021cd9ccb72288b1ef9ed9
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