Instructions to use zac/Bad_hands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zac/Bad_hands with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zac/Bad_hands") 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("zac/Bad_hands") model = AutoModelForImageClassification.from_pretrained("zac/Bad_hands", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a29875055076cd61b8c96f3a9497600203a26529a41755a01a2aae7a82553323
- Size of remote file:
- 1.03 GB
- SHA256:
- 7150e84ca308d5a9ca116af913ef4a68730e324df7084ffa92a1f250839956db
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