Instructions to use companionvs/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use companionvs/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="companionvs/test")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("companionvs/test") model = AutoModelForObjectDetection.from_pretrained("companionvs/test") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("object-detection", model="companionvs/test")# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("companionvs/test")
model = AutoModelForObjectDetection.from_pretrained("companionvs/test")Quick Links
# Gated model: Login with a HF token with gated access permission hf auth login