Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use vollsteksolutions/colab1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vollsteksolutions/colab1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vollsteksolutions/colab1") 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("vollsteksolutions/colab1") model = AutoModelForImageClassification.from_pretrained("vollsteksolutions/colab1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
colab1
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
auto
bike
bus
car
lorry
- Downloads last month
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Evaluation results
- Accuracyself-reported0.784




