Instructions to use timm/vit_small_patch14_dinov2.lvd142m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_small_patch14_dinov2.lvd142m with timm:
import timm model = timm.create_model("hf-hub:timm/vit_small_patch14_dinov2.lvd142m", pretrained=True) - Transformers
How to use timm/vit_small_patch14_dinov2.lvd142m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/vit_small_patch14_dinov2.lvd142m")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_small_patch14_dinov2.lvd142m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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transformers tag
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Change pipeline tag to image-feature-extraction (#3)
Verified signature- Change pipeline tag to image-feature-extraction (0686a689726076609b20e80d263cb5aa7be945f5) Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>4476dc0
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Fixed task tag (#2)
- Fixed task tag (06502562800e2710c84b18c3d4a8b8fbb6ac0fcc) Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>cace07a
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