Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use fullstuck/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fullstuck/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fullstuck/image_classification") 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("fullstuck/image_classification") model = AutoModelForImageClassification.from_pretrained("fullstuck/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0253a6c4bf64699afec2a8a0578c9e8aa03e4df03dfa4f70c2cea222a9784a40
- Size of remote file:
- 343 MB
- SHA256:
- 4a8784b108a86153815fa12bb2919ff4d3d4ff96a7a9dce13a059b29fb2f7bd1
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