Instructions to use ProbeX/Model-J__MAE__model_idx_0640 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_0640 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_0640") 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_0640") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0640", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ed4a8c9221b30c8727221bbc93bfd0f559108a926c47e92baa0eede02e06d7d
- Size of remote file:
- 5.37 kB
- SHA256:
- a143b61ec6a84bb7558b214420a2b459e4cf7d58edd5358f9e51105191e8cfc4
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