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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 354153f32a4b67e55cd223b5c3cc9e21dc6140457639a2fbd7c2e8a2cf1e053b
- Size of remote file:
- 5.3 kB
- SHA256:
- c8413bf9b948a3455f6611862eabe79744cf3cb4a7409c8043856d5375128c08
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