Instructions to use victorwkey/vit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use victorwkey/vit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="victorwkey/vit_model") 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("victorwkey/vit_model") model = AutoModelForImageClassification.from_pretrained("victorwkey/vit_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signature46b852b -
Training in progress, step 520
Verified signature571aff5 -
Training in progress, step 500
Verified signature5476aa3 -
initial commit
Verified signature4260e0b