Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use mateoluksenberg/dit-base-Classifier_CM05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateoluksenberg/dit-base-Classifier_CM05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mateoluksenberg/dit-base-Classifier_CM05") 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("mateoluksenberg/dit-base-Classifier_CM05") model = AutoModelForImageClassification.from_pretrained("mateoluksenberg/dit-base-Classifier_CM05") - Notebooks
- Google Colab
- Kaggle
Ctrl+K