Instructions to use TalentoTechIA/Mariapaula with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TalentoTechIA/Mariapaula with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TalentoTechIA/Mariapaula") 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/Mariapaula") model = AutoModelForImageClassification.from_pretrained("TalentoTechIA/Mariapaula", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d3da88ecf6d5f478441c06d7ed8d7e009611b88115564e4a1024adaad630d8d
- Size of remote file:
- 343 MB
- SHA256:
- fddc79e6ed7600850221ae6f15f19e716dcf9b0205c8df1a3b0cc77bf7507c57
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