Instructions to use ProbeX/Model-J__MAE__model_idx_0676 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_0676 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_0676") 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_0676") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0676") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87caf2118d7f1cd9784d1a1f8275a0320d1ca3cfb454bea8f9b56fed875261cc
- Size of remote file:
- 5.37 kB
- SHA256:
- 524e652710f454f50334f399e80e04eb33c6a826af531b89c07d8855c74fbe7f
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