Instructions to use Dugerij/image_segmentation_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dugerij/image_segmentation_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dugerij/image_segmentation_classifier") 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("Dugerij/image_segmentation_classifier") model = AutoModelForImageClassification.from_pretrained("Dugerij/image_segmentation_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Dugerij/image_segmentation_classifier: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Dugerij/image_segmentation_classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://Dugerij/image_segmentation_classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Dugerij/image_segmentation_classifier/resolve/main/model.safetensors
343 MB
- Xet hash:
- c12804fd0b313694e7c1a2c4b66bd1e7e59cae10d59eb659d6b0c4298560c4fa
- Size of remote file:
- 343 MB
- SHA256:
- 1f27897fe8e1cb8cb7ae74d983033420d2e06e1f9c5b271fbd023462a84a5936
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