Instructions to use ProbeX/Model-J__MAE__model_idx_0624 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__MAE__model_idx_0624 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__MAE__model_idx_0624") 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__MAE__model_idx_0624") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0624", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50a424193946faaf68f2089ea4f0e6936fda569116316bf05081a15ec922d4fd
- Size of remote file:
- 5.37 kB
- SHA256:
- 6c119f5205df10c87319d349c20007402b83b6898818411f509d8d1b37ba4c6f
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