Instructions to use ProbeX/Model-J__DINO__model_idx_0837 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_0837 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_0837") 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_0837") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0837", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb157f0ff39abf8e13eafa405043abf6c7f4bcddb0b81655fcd00f1086bf7fdb
- Size of remote file:
- 5.37 kB
- SHA256:
- 69f932500fb57e638642f8aca960750b18f1549624319266a54cd756d6a397c5
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