Instructions to use PablitoGil14/Practica2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PablitoGil14/Practica2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PablitoGil14/Practica2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PablitoGil14/Practica2") model = AutoModelForObjectDetection.from_pretrained("PablitoGil14/Practica2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86441d9b70fe8fed63cdf6848c587ae7c17bdbdf7cc00f3a2311db61a3c33b88
- Size of remote file:
- 5.3 kB
- SHA256:
- c11cbc3c8a11d1f287c6a2d08f96de4ed2e5a066e3af0e5b13d9273c1801f806
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