Object Detection
ultralytics
TensorBoard
PyTorch
English
v8
ultralyticsplus
yolov8
yolo
vision
finance
stock market
candlesticks
pattern recognition
option trading
chart reader
future stock prediction
trends prediction
Eval Results (legacy)
Instructions to use NabeelShar/tes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use NabeelShar/tes with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("NabeelShar/tes", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle