Instructions to use ProbeX/Model-J__MAE__model_idx_0675 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_0675 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_0675") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__MAE__model_idx_0675") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0675", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
2ab0b5b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5ab1441a2ebb8031be54f945316c3205f23b3c989a5a1652863182e92c5db141
size 5368
|