Instructions to use ProbeX/Model-J__SupViT__model_idx_0072 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__SupViT__model_idx_0072 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__SupViT__model_idx_0072") 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("ProbeX/Model-J__SupViT__model_idx_0072") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0072", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
697b4e3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7f5980077853a06587dbb7be9f84122bf22207c7fe40d2645af608b109e4c1e1
size 5368
|