Instructions to use Yuqii/trained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuqii/trained_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Yuqii/trained_model")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Yuqii/trained_model") model = AutoModelForObjectDetection.from_pretrained("Yuqii/trained_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b75bd6cd5a22e98092af76236d1d2a54cec7326e12cd9ed59c21566f8094ede
- Size of remote file:
- 3.9 kB
- SHA256:
- 79ff1078e762dd07348468707fb25ab83d848f2f216272bf5288f0db7ebe0dd0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.