Instructions to use TalentoTechIA/Hamilton_08_05_25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Hamilton_08_05_25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Hamilton_08_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_08_05_25") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Hamilton_08_05_25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf33ab743f6c866480a1a7a09a20bf8e6143abafb6c9eecc309952f0609318cb
- Size of remote file:
- 5.37 kB
- SHA256:
- 85ce00f8f5d732177549de6df72f269847ef8557ba042dbecc935e2e8ed05fb4
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