Instructions to use cledoux42/Ethnicity_Test_v003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cledoux42/Ethnicity_Test_v003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cledoux42/Ethnicity_Test_v003") 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("cledoux42/Ethnicity_Test_v003") model = AutoModelForImageClassification.from_pretrained("cledoux42/Ethnicity_Test_v003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 488087a0bdca7fe0f2eb74de1c8d6fae1de61f22cd1967128021c82abedd91d1
- Size of remote file:
- 344 MB
- SHA256:
- c27d3ecd5e7b385e2752f8a069842ac18212a7bde0f20622e526d18d610dd791
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