Image Classification
Transformers
TensorBoard
Safetensors
vit
Sychol
3_class
ViT
Generated from Trainer
Instructions to use Sychol/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sychol/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sychol/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("Sychol/ViT_beans") model = AutoModelForImageClassification.from_pretrained("Sychol/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0305876c328d4d19a077ed0b56a77a9180b9f67c98fd54a08e2b77acb32e780
- Size of remote file:
- 5.37 kB
- SHA256:
- 0268893252f3bd77c239dbe9bd2bbdbbabc33d8af664c910041fbe0bbbf7759d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.