Instructions to use ProbeX/Model-J__MAE__model_idx_0742 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_0742 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_0742") 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_0742") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0742", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
c735f0b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c2d5a6fd29af511c61195185938fee7bd460e4998ef0e61380fa6047f79ceda9
size 5368
|