Instructions to use ProbeX/Model-J__DINO__model_idx_0715 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__DINO__model_idx_0715 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__DINO__model_idx_0715") 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__DINO__model_idx_0715") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0715", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
8f1724a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:26940932878f25baf545146a2ae527dd6c4600001de18898cef2d9437a179903
size 5368
|