Instructions to use ISEARobots/vit-base-patch16-224-finetuned-flower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISEARobots/vit-base-patch16-224-finetuned-flower with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ISEARobots/vit-base-patch16-224-finetuned-flower") 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("ISEARobots/vit-base-patch16-224-finetuned-flower") model = AutoModelForImageClassification.from_pretrained("ISEARobots/vit-base-patch16-224-finetuned-flower", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ISEARobots/vit-base-patch16-224-finetuned-flower: direct link, hf CLI and curl.
- Browser
- Download file 3.83 kB
-
https://huggingface.co/ISEARobots/vit-base-patch16-224-finetuned-flower/resolve/main/training_args.bin
- Command line
-
hf download hf://ISEARobots/vit-base-patch16-224-finetuned-flower/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ISEARobots/vit-base-patch16-224-finetuned-flower/resolve/main/training_args.bin
3.83 kB
- Xet hash:
- 2f09b619e0a566b354928cffb4978589aa2dc3a222fbbe6e6283b076c4626ff1
- Size of remote file:
- 3.83 kB
- SHA256:
- bff1d72471788646307b1b0940507d552aa9a9ec7b6e54db62dfc7be5e1bcfc9
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