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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba0434252d03b32b03748f5d8c487b4a8f0ae69d3978d2f493e141816efee30f
- Size of remote file:
- 372 MB
- SHA256:
- 4eeed8acb82365002266bf98361ceebe19f9b74d7c885c5c8854bb58082b85b5
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