Image Classification
Transformers
Safetensors
English
siglip
Marathi-Sign-Language-Detection
SigLIP2
93M
Instructions to use prithivMLmods/Marathi-Sign-Language-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Marathi-Sign-Language-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Marathi-Sign-Language-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/Marathi-Sign-Language-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Marathi-Sign-Language-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cca114be2ead43e969575f0945e6a08447f2b1ab2bb05ab223e0e104368e407
- Size of remote file:
- 372 MB
- SHA256:
- 998638d185582b100934f96ec7d6ba8f2379625b25bce4f3f24f834648d18388
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