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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87dfba5e7a29e3e8ad458b2c004dafead891afc8f90d389f7c7e2a3171d8fd4e
- Size of remote file:
- 14.2 kB
- SHA256:
- e13324d285e34158f16334e5bb4925f926c6c55d469c9669497dbfa239cf2abc
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