Instructions to use JoeDanzer/detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoeDanzer/detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="JoeDanzer/detect")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoeDanzer/detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from JoeDanzer/detect: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/JoeDanzer/detect/resolve/main/config.json
- Command line
-
hf download hf://JoeDanzer/detect/config.json
-
curl -L -o config.json https://huggingface.co/JoeDanzer/detect/resolve/main/config.json
190 Bytes
Invalid JSON:Unexpected non-whitespace character after JSONat line 2, column 3
| {"input_size": 640, "task": "object-detection", "ultralyticsplus_version": "0.0.23", "ultralytics_version": "8.0.21", "model_type": "v8", "score_map50": 0.89165} | |
| "id2label": | |
| "0": "pp" |