Instructions to use ProbeX/Model-J__MAE__model_idx_0657 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_0657 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_0657") 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_0657") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0657") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53efd4949992a7a6fd4f7b34b8f8982fbf66c5003686a327a809fa8481025842
- Size of remote file:
- 5.37 kB
- SHA256:
- 85c5cb14452dfa6941ce0982f967fbcc01acee9a4455def5bb3dd0e1ca73a971
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