Instructions to use ProbeX/Model-J__MAE__model_idx_0768 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_0768 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_0768") 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_0768") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0768", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 442736a534aa34a1eeb9ec39ce4b49189cc84c6e13389d2d9a1aa4b9e845af7b
- Size of remote file:
- 5.37 kB
- SHA256:
- bf4c373a37d63f094dba3578a7853aacdf97fdb81aeada6f12deac2d2edd262f
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