Instructions to use internetoftim/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/dinov2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="internetoftim/dinov2-base")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("internetoftim/dinov2-base") model = AutoModel.from_pretrained("internetoftim/dinov2-base") - Notebooks
- Google Colab
- Kaggle
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# To fine-tuning Details
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"Graphcore/vit-base-ipu" # config specific to the IPU (Used POD4)
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# To fine-tuning Details
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"nielsr/dinov2-base" # pre-trained model from which to fine-tune
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"Graphcore/vit-base-ipu" # config specific to the IPU (Used POD4)
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