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:
- 6ec16a6a04aac7b5cd25f594e655a220916decdbb622c04ffae684547f12380c
- Size of remote file:
- 254 MB
- SHA256:
- 2f07758ed6a9f05f8af341a80c486fcb547db499e8a5f5c79d8bc7e38d298156
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