Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use judith0/v1-ineClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judith0/v1-ineClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="judith0/v1-ineClassification") 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("judith0/v1-ineClassification") model = AutoModelForImageClassification.from_pretrained("judith0/v1-ineClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c49682a89a4890018c2f14503c934e716a1d3dbe599efcb39dfcd20de71bacb
- Size of remote file:
- 4.66 kB
- SHA256:
- f71c9703ad478409225e10eaa57e1bc0a1507ec3fc4117985b39003e188a01bb
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