Image Classification
Transformers
Safetensors
English
siglip
Hindi-Sign-Language-Detection
SigLIP2
93M
Instructions to use prithivMLmods/Hindi-Sign-Language-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Hindi-Sign-Language-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Hindi-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/Hindi-Sign-Language-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Hindi-Sign-Language-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83ed1b59eed3fa9d689c0a46665712d91e844af13c4f3b0737a72cdf7f53e084
- Size of remote file:
- 687 MB
- SHA256:
- 6ab5ec3029daa57091d26102843cc6f8836441fb1ec8c16e2d2fddf7a9962410
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