How to use mezattn/eva02_base_patch14_448_moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mezattn/eva02_base_patch14_448_moderation") 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("mezattn/eva02_base_patch14_448_moderation") model = AutoModelForImageClassification.from_pretrained("mezattn/eva02_base_patch14_448_moderation")
license: mit base_model: - timm/eva02_base_patch14_448.mim_in22k_ft_in22k_in1k pipeline_tag: image-classification tags: - pytorch - transformers
