Instructions to use prithivMLmods/FineTuning-SigLIP2-Notebook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/FineTuning-SigLIP2-Notebook with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/FineTuning-SigLIP2-Notebook") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prithivMLmods/FineTuning-SigLIP2-Notebook", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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| Huggingface Blog | [](https://github.com/PRITHIVSAKTHIUR/FineTuning-SigLIP-2) |
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| Huggingface Blog | [](https://huggingface.co/blog/prithivMLmods/siglip2-finetune-image-classification) |
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| GitHub Repository | [](https://github.com/PRITHIVSAKTHIUR/FineTuning-SigLIP-2) |
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