Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Instructions to use qubvel-hf/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="qubvel-hf/vit-base-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("qubvel-hf/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("qubvel-hf/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c974efb6bb562ff092ffe7aa8dd12b8b6ab825d3b0c5a77ccf3c6b156b93ff46
- Size of remote file:
- 44.8 MB
- SHA256:
- daf49eef23beb2ccd925a13f4af84a8bd5e5e82d3f7e678ae59da76fd7f53ae5
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