Instructions to use suredream/tsec_vit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suredream/tsec_vit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suredream/tsec_vit_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("suredream/tsec_vit_model") model = AutoModelForImageClassification.from_pretrained("suredream/tsec_vit_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c97d2768e2a0dd17e74357f604a518d300f7de1f538fbf4a524e4270ebb196dc
- Size of remote file:
- 5.11 kB
- SHA256:
- e4a893662572ecb9ffadba1a5440827ef16f10b8d42bf8403e89aa45101f1b07
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