Instructions to use hansin91/scene_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansin91/scene_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hansin91/scene_classification") 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("hansin91/scene_classification") model = AutoModelForImageClassification.from_pretrained("hansin91/scene_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hansin91/scene_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/hansin91/scene_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://hansin91/scene_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hansin91/scene_classification/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- b5c477d3e4b93fd801a2877747f38375c3485ad4b80dc5a8b26890671536ed3e
- Size of remote file:
- 4.03 kB
- SHA256:
- 0675fc37ff7a987f9e63df60c2071645ebdd2e6fc48327460595c94462711635
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