Image Classification
Transformers
Safetensors
English
siglip
Gesture
Classification
SigLIP2
19:Styles
Vision-Encoder
Instructions to use prithivMLmods/Hand-Gesture-19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Hand-Gesture-19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Hand-Gesture-19") 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/Hand-Gesture-19") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Hand-Gesture-19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86d6658f1cf862c76aa2dafe7bb5130654fa854dd0a83832336576312518ae60
- Size of remote file:
- 5.3 kB
- SHA256:
- ece2f315761755eaa1563a5a7e3c0364fb0faa58002113aa00850f59d1176766
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