Instructions to use cledoux42/Age_Classify_v001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cledoux42/Age_Classify_v001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cledoux42/Age_Classify_v001") 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/Age_Classify_v001") model = AutoModelForImageClassification.from_pretrained("cledoux42/Age_Classify_v001") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05360f2a60be7257d590b972397c8885ff8b56da12af0f415829d9edaabca4b0
- Size of remote file:
- 343 MB
- SHA256:
- 62d234939c3e38b64b252af88adee68da65b690a70f68840f299b24b69aa9c84
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