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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license: apache-2.0
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datasets:
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- AadityaJain/Fromula_text_classification
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license: apache-2.0
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datasets:
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- AadityaJain/Fromula_text_classification
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```py
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Classification Report:
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precision recall f1-score support
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formula 0.9983 1.0000 0.9991 6375
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text 1.0000 0.9980 0.9990 5457
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accuracy 0.9991 11832
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macro avg 0.9991 0.9990 0.9991 11832
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weighted avg 0.9991 0.9991 0.9991 11832
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```
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