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/tokenizer.json from ilessio-aiflowlab/project_azoth: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/ilessio-aiflowlab/project_azoth/resolve/main/checkpoints/tokenizer.json
- Command line
-
hf download hf://ilessio-aiflowlab/project_azoth/checkpoints/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ilessio-aiflowlab/project_azoth/resolve/main/checkpoints/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.