Instructions to use JeanCGuerrero/practica_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeanCGuerrero/practica_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="JeanCGuerrero/practica_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("JeanCGuerrero/practica_2") model = AutoModelForObjectDetection.from_pretrained("JeanCGuerrero/practica_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82827be675b418698f60e1b5dded649c9064c641a67985954f0a3bed15f3e4c8
- Size of remote file:
- 5.3 kB
- SHA256:
- 5ba7329bfd03bcb15275530254fe5a92c67489d27c5874a486a02c583c408963
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.