Instructions to use micole66/dwarf-goats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micole66/dwarf-goats with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="micole66/dwarf-goats") 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("micole66/dwarf-goats") model = AutoModelForImageClassification.from_pretrained("micole66/dwarf-goats", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b40157da76ebc23d473d7388dfd5846e3e6e59bd194978c1742a62a1ebbeb5c5
- Size of remote file:
- 343 MB
- SHA256:
- 556d536037f4974d7d25999fd5bf67abc03f625b58aa52f11d00dc303004f099
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