Image Classification
Transformers
Safetensors
English
siglip
Formula-Text-Detection
SigLIP2
Image-Classification
Instructions to use prithivMLmods/Formula-Text-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Formula-Text-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Formula-Text-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Formula-Text-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Formula-Text-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## **Label Space: 2 Classes**
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The model classifies each input image into one of the following categories:
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> [!note]
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*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* https://arxiv.org/pdf/2502.14786
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## **Label Space: 2 Classes**
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The model classifies each input image into one of the following categories:
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