Instructions to use TalentoTechIA/Hamilton_23_05_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Hamilton_23_05_25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Hamilton_23_05_25") 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("TalentoTechIA/Hamilton_23_05_25") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Hamilton_23_05_25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d46b1259020cf7fd20f670305a0492febafb780faa37ebdd2e74147f6669d0ca
- Size of remote file:
- 5.37 kB
- SHA256:
- f1fe17c0c2b82f696ea9f6558601a08820299d627ca44d5d95e95278ed3c096c
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