Instructions to use jaypratap/vit-mae-base-infiltration-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaypratap/vit-mae-base-infiltration-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jaypratap/vit-mae-base-infiltration-classifier") 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("jaypratap/vit-mae-base-infiltration-classifier") model = AutoModelForImageClassification.from_pretrained("jaypratap/vit-mae-base-infiltration-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 6
Verified signatureb201ca5 -
Training in progress, epoch 5
Verified signature00688e5 -
Training in progress, epoch 4
Verified signatured5b2f64 -
Training in progress, epoch 4
Verified signature1e4c768 -
Training in progress, epoch 2
Verified signature8ce595e -
Training in progress, epoch 1
Verified signaturece08ba5 -
Training in progress, epoch 0
Verified signature51d1eb4 -
initial commit
Verified signature27ba5f6