Instructions to use Library-Mutsumi/clip_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Library-Mutsumi/clip_onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Library-Mutsumi/clip_onnx")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Library-Mutsumi/clip_onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7813b7989935c80dde1b9f69a2ed193aca22fb2a8140f305870991b2e15e1af9
- Size of remote file:
- 254 MB
- SHA256:
- 777bfe38c6ff9c5230fad08b9773a641f56403f4bc3d4bf639d17f3f9274536a
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