Instructions to use AdrianRevi/practica_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrianRevi/practica_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="AdrianRevi/practica_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("AdrianRevi/practica_2") model = AutoModelForObjectDetection.from_pretrained("AdrianRevi/practica_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86780159e0bed6f431ce8b5d2cd41a2f8e59ee4389f28261ddb86b82f0f7c818
- Size of remote file:
- 5.24 kB
- SHA256:
- 426788c0e3e10ba3c1ecd6eb8630c4f6372f0910c818fa2635cb3436a48681b0
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