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---
license: apache-2.0
language:
- en
pipeline_tag: image-classification
library_name: transformers
tags:
- notebook
- colab
- siglip2
- image-to-text
---
> **Finetune SigLIP2 Image Classification**
This notebook demonstrates how to fine-tune SigLIP 2, a robust multilingual vision-language model, for single-label image classification tasks. The fine-tuning process incorporates advanced techniques such as captioning-based pretraining, self-distillation, and masked prediction, unified within a streamlined training pipeline. The workflow supports datasets in both structured and unstructured forms, making it adaptable to various domains and resource levels.
| Notebook Name | Description | Notebook Link |
|-------------------------------------|--------------------------------------------------|----------------|
| notebook-siglip2-finetune-type1 | Train/Test Splits | [Download](https://huggingface.co/prithivMLmods/FineTuning-SigLIP2-Notebook/blob/main/Finetune-SigLIP2-Image-Classification/1.SigLIP2_Finetune_ImageClassification_TrainTest_Splits.ipynb) |
| notebook-siglip2-finetune-type2 | Only Train Split | [Download](https://huggingface.co/prithivMLmods/FineTuning-SigLIP2-Notebook/blob/main/Finetune-SigLIP2-Image-Classification/2.SigLIP2_Finetune_ImageClassification_OnlyTrain_Splits.ipynb) |
The notebook outlines two data handling scenarios. In the first, datasets include predefined train and test splits, enabling conventional supervised learning and generalization evaluation. In the second scenario, only a training split is available; in such cases, the training set is either partially reserved for validation or reused entirely for evaluation. This flexibility supports experimentation in constrained or domain-specific settings, where standard test annotations may not exist.
```
last updated : jul 2025
```
| **Type 1: Train/Test Splits** | **Type 2: Only Train Split** |
|------------------------------|------------------------------|
|  |  |
---
| Platform | Link |
|----------|------|
| Huggingface Blog | [](https://huggingface.co/blog/prithivMLmods/siglip2-finetune-image-classification) |
| GitHub Repository | [](https://github.com/PRITHIVSAKTHIUR/FineTuning-SigLIP-2) |
|