Image Classification
Transformers
TensorBoard
Safetensors
vit
HHD
3_class
ViT
Generated from Trainer
Instructions to use baobaoS2/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baobaoS2/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="baobaoS2/ViT_beans") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("baobaoS2/ViT_beans") model = AutoModelForImageClassification.from_pretrained("baobaoS2/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf3a79c90b454f0cb71724741918f9553d46278a9859adb599b211ecfe6b672
- Size of remote file:
- 5.18 kB
- SHA256:
- b502ed87d44a264ce89ac785c2b284f8f61c5e8f635641e68ce8b3ebe33c5cbc
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