Instructions to use AdrianRevi/Practica2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrianRevi/Practica2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AdrianRevi/Practica2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AdrianRevi/Practica2") model = AutoModelForObjectDetection.from_pretrained("AdrianRevi/Practica2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb9b0aac847a09f00755b096804ceb4af64182548fef8937632ac5b76c55be29
- Size of remote file:
- 5.24 kB
- SHA256:
- 9b419bc91eb09639d48fe3b19f35720272e1b0c1702762c90d202e982d6439ca
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