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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b8ccd6c169f6028e348b312c5f74edd8eba2dcd4ad0e9190399bcabf93a3f67
- Size of remote file:
- 5.37 kB
- SHA256:
- dc0703ba008ea59d265f49bea7a6bf2dd8caaa975fb09b38392633a8757e82ba
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