Instructions to use zeshan304/crackyesnotry1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeshan304/crackyesnotry1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zeshan304/crackyesnotry1") 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("zeshan304/crackyesnotry1") model = AutoModelForImageClassification.from_pretrained("zeshan304/crackyesnotry1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 6
Model tree for zeshan304/crackyesnotry1
Base model
google/vit-base-patch16-224-in21k Finetuned
dima806/fairface_age_image_detection