Image Classification
Transformers
TensorBoard
Safetensors
vit
Valla
3_class
ViT
Generated from Trainer
Instructions to use valla2345/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valla2345/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="valla2345/ViT_beans") 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("valla2345/ViT_beans") model = AutoModelForImageClassification.from_pretrained("valla2345/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from valla2345/ViT_beans: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/valla2345/ViT_beans/resolve/main/training_args.bin
- Command line
-
hf download hf://valla2345/ViT_beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/valla2345/ViT_beans/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c0a127a047c5628c6364b2240d51e8ae1d271fc7ae1a217888c22e3f78dfcc5f
- Size of remote file:
- 5.37 kB
- SHA256:
- 3ffb96b4b6e80919fd1db0e6a72ca4f847b7ebe8534f6699d875b8748dcb3203
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