Instructions to use modelplus/hand_gestures_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modelplus/hand_gestures_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="modelplus/hand_gestures_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("modelplus/hand_gestures_classification") model = AutoModelForImageClassification.from_pretrained("modelplus/hand_gestures_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a1d98e5c6d2e699d343bbc0ea820af4724ff7da711ed6e76567b32a0345fd7d
- Size of remote file:
- 343 MB
- SHA256:
- 28cbc8f80f20faaa6377720c8779bac9ffb247cb28669335e20b6a86b6a067f2
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