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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d0b9cd5fbf812c1280bd766ef386ca8cfbb4530bca4ff02df37effa8f4bc92
- Size of remote file:
- 5.05 kB
- SHA256:
- 6a483b700d1db8465398229b39c6e16143d15807feeb9447d2b4c42b8d769e48
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