--- license: agpl-3.0 library_name: transformers pipeline_tag: object-detection tags: - object-detection - yolo - custom-model - finetuned --- # LykaAustria/nicpras_finetuned_yolo This is a fine-tuned YOLO model trained for object detection on a custom dataset. ## Model Details - **Base Model:** YOLOv3 - **Fine-tuned On:** [Dataset Name] - **Task:** Object Detection - **Framework:** Ultralytics ## Intended Use This model is designed for detecting objects in images. It works best for the following use cases: - Use Case 1 - Use Case 2 ## Configuration File The configuration file (`config.yaml`) is required to use this model in CVAT. Download it: https://huggingface.co/LykaAustria/nicpras_finetuned_yolo/blob/main/config.yaml. ## How to Use You can load this model using the `transformers` library as follows: ```python from transformers import pipeline # Load the model model = pipeline("object-detection", model="LykaAustria/nicpras_finetuned_yolo") # Run inference results = model("path_to_image.jpg") print(results)