Instructions to use TalentoTechIA/Hamilton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Hamilton with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Hamilton") 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") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Hamilton") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a11dd35fff204a1809476d34d3a3dac6cddf38ed4961544334e675debab767c
- Size of remote file:
- 343 MB
- SHA256:
- 173ec000ee46a2724728e0c5b4e4bafb8479776b63ec77988b89793e04c06cef
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