Zero-Shot Object Detection
Transformers
Safetensors
robotics
anima
azoth
object-detection
open-vocabulary
grounding-dino
llmdet
cvpr2025
robot-flow-labs
Instructions to use ilessio-aiflowlab/project_azoth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilessio-aiflowlab/project_azoth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="ilessio-aiflowlab/project_azoth")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ilessio-aiflowlab/project_azoth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoints/preprocessor_config.json from ilessio-aiflowlab/project_azoth: direct link, hf CLI and curl.
- Browser
- Download file 511 Bytes
-
https://huggingface.co/ilessio-aiflowlab/project_azoth/resolve/main/checkpoints/preprocessor_config.json
- Command line
-
hf download hf://ilessio-aiflowlab/project_azoth/checkpoints/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/ilessio-aiflowlab/project_azoth/resolve/main/checkpoints/preprocessor_config.json
511 Bytes
| { | |
| "do_convert_annotations": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "format": "coco_detection", | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "GroundingDinoImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "pad_size": null, | |
| "processor_class": "GroundingDinoProcessor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 1333, | |
| "shortest_edge": 800 | |
| } | |
| } | |