Instructions to use ConradHw/pole_detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConradHw/pole_detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ConradHw/pole_detect")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ConradHw/pole_detect") model = AutoModelForObjectDetection.from_pretrained("ConradHw/pole_detect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 293 Bytes
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"_name_or_path": "ConradHw/pole_detect",
"architectures": [
"YolosForObjectDetection"
],
"id2label": {
"0": "pole"
},
"image_size": [
512,
864
],
"label2id": {
"pole": 0
},
"model_type": "yolos",
"num_attention_heads": 6,
"num_hidden_layers": 12
} |