Instructions to use davabbb/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davabbb/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davabbb/output")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("davabbb/output") model = AutoModelForObjectDetection.from_pretrained("davabbb/output") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("davabbb/output")
model = AutoModelForObjectDetection.from_pretrained("davabbb/output")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davabbb/output")