Instructions to use andrei-saceleanu/vit-base-freematch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrei-saceleanu/vit-base-freematch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="andrei-saceleanu/vit-base-freematch")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("andrei-saceleanu/vit-base-freematch") model = AutoModel.from_pretrained("andrei-saceleanu/vit-base-freematch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34ca93bdca8d8b334c8b642743f43fd1bb74398431aa9ca685394333eb6c3d21
- Size of remote file:
- 346 MB
- SHA256:
- 63e99353d0b0dfd4693d0880f393c5c8b7bddfa3fefd6b705132d11ff28e8a1d
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