Instructions to use TalentoTechIA/andfelipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/andfelipe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/andfelipe") 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/andfelipe") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/andfelipe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6aa857de1a4af574944962b6be5dd6d240aabc8e644fd6d456fddb0cc7a5a3d
- Size of remote file:
- 343 MB
- SHA256:
- 0548f9f8ef027c67a986f3cf02fb6198a9089db33f466f9fd24e107b334e0903
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