Instructions to use ProbeX/Model-J__MAE__model_idx_0607 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_0607 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_0607") 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_0607") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0607") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9a50b1870910157ac9d96f5f0fb5cc124030a4b12464e0db0d0cfb5aa8da6f4
- Size of remote file:
- 343 MB
- SHA256:
- 943b2817d6cae4aa93ce49e1d873455a2c03785e26fad52e3d9101955b033437
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