Instructions to use facebook/dinov3-convnext-tiny-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-convnext-tiny-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-convnext-tiny-pretrain-lvd1689m")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/dinov3-convnext-tiny-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-convnext-tiny-pretrain-lvd1689m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
I would like to reapply for access to this model
#7
by valenhuang - opened
Hello,
I would like to reapply for access to this model. My previous request was denied, but I would like to clarify that my intention is purely for research and educational purposes.
I am using this model to explore computer vision feature extraction, image understanding, and representation learning in an academic or personal research setting. The model will not be used for any commercial purposes.
I fully understand and agree to the Meta Privacy Policy and the Hugging Face Terms of Service.
Thank you for reconsidering my request.
Best regards,
valen huang