Instructions to use crocutacrocuto/dinov2-large-MEG7-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crocutacrocuto/dinov2-large-MEG7-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="crocutacrocuto/dinov2-large-MEG7-10") 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("crocutacrocuto/dinov2-large-MEG7-10") model = AutoModelForImageClassification.from_pretrained("crocutacrocuto/dinov2-large-MEG7-10") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
runs/Apr26_17-48-23_hugo-Precision-7960-Tower/events.out.tfevents.1745682531.hugo-Precision-7960-Tower.3703538.0
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