Instructions to use ProbeX/Model-J__MAE__model_idx_0678 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_0678 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_0678") 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_0678") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0678") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e90ac473a36360bda148b25f737622b9c30ea53416b33f26989893e1b5ed5ed2
- Size of remote file:
- 5.37 kB
- SHA256:
- 1a06bd9e51d4b959ae5f56b110ed5ee79c46a19e1bac89ffc58e88837d8e1e91
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