Instructions to use flyingbugs/style_classification_multiple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyingbugs/style_classification_multiple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyingbugs/style_classification_multiple") 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("flyingbugs/style_classification_multiple") model = AutoModelForImageClassification.from_pretrained("flyingbugs/style_classification_multiple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from flyingbugs/style_classification_multiple: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/flyingbugs/style_classification_multiple/resolve/main/training_args.bin
- Command line
-
hf download hf://flyingbugs/style_classification_multiple/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/flyingbugs/style_classification_multiple/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- b5f581f67f92872ac4ee9b0054bba54396a7fd4568a2342609502acb8f2829b6
- Size of remote file:
- 4.6 kB
- SHA256:
- 6666766ab4c86df270f7a9e8c415937b81294fa2747d4c580d36a94ce95a4ddc
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