Instructions to use therealcyberlord/stanford-car-vit-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use therealcyberlord/stanford-car-vit-patch16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="therealcyberlord/stanford-car-vit-patch16") 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("therealcyberlord/stanford-car-vit-patch16") model = AutoModelForImageClassification.from_pretrained("therealcyberlord/stanford-car-vit-patch16") - Inference
- Notebooks
- Google Colab
- Kaggle
hyper-parameter for Fine-tuning
#2
by yfpeng1234 - opened
Hi, could you please provide the hyper-parameter for finetuning.
I also use VIT-base-patch16-224 to fine-tune on Stanford cars, but the acc of test-set is only 40%.
Thanks a lot!
Hi, can you share your notebook for the finetuning, i try to learn more about VLM