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:
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)
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.