Model Details
Full Model IDkeremberke/yolov8m-table-extraction
Pipeline / Taskobject-detection
Libraryultralytics
Downloads (all-time)25.0K
Likes44
Last Modified5/23/2024
Author / Orgkeremberke
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("object-detection", model="keremberke/yolov8m-table-extraction")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
ultralyticstensorboardv8ultralyticsplusyolov8yolovisionobject-detectionpytorchawesome-yolov8-modelsdataset:keremberke/table-extractionlicense:agpl-3.0model-indexregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models�� Task: Object Detection
This model is designed for the Object Detection task. Explore more models for this use case.
All Object Detection Models →📊 Popularity
⬇ Downloads25.0K
����� Community Likes44
🛠�� Requirements
- →Install: pip install ultralytics
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.