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") - Notebooks
- Google Colab
- Kaggle
all)
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcca0f8ebd1d036b6ad595b8fc0c2be8905e80385a021cd9ccb72288b1ef9ed9
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size 1262357937
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