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 pytorch_model.bin from ISEARobots/vit-base-patch16-224-finetuned-flower: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/ISEARobots/vit-base-patch16-224-finetuned-flower/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ISEARobots/vit-base-patch16-224-finetuned-flower/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ISEARobots/vit-base-patch16-224-finetuned-flower/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- fcee37c944583134d17b78add120290e010e4ed3643aa6f33773b17f9bf0120d
- Size of remote file:
- 343 MB
- SHA256:
- 1f0af29e02937200b3a4e057d598926833128b02272e83b19161f079dc1f2220
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.