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
- Xet hash:
- 49b59ffd6bf456f98fb355f0c5468e999f5e90d66c06577988d91ef52da0d019
- Size of remote file:
- 687 MB
- SHA256:
- e57b44699ca58b5a7af89695c0b34b32f64ddfb483d68a847a07481083f87aa7
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