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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("judith0/v1-ineClassification") model = AutoModelForImageClassification.from_pretrained("judith0/v1-ineClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature9926bac -
Model save
Verified signature933f5e0 -
Training in progress, epoch 2
Verified signatureba0878c -
Training in progress, epoch 1
Verified signaturefead082 -
Training in progress, epoch 0
Verified signature7834e0d -
initial commit
Verified signature9f8af8a