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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prithivMLmods/FineTuning-SigLIP2-Notebook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -50,6 +50,7 @@ last updated : jul 2025
|
|
| 50 |
|  |  |
|
| 51 |
|
| 52 |
</div>
|
|
|
|
| 53 |
---
|
| 54 |
|
| 55 |
| Platform | Link |
|
|
|
|
| 50 |
|  |  |
|
| 51 |
|
| 52 |
</div>
|
| 53 |
+
|
| 54 |
---
|
| 55 |
|
| 56 |
| Platform | Link |
|