Image Classification
Transformers
Safetensors
English
image-forensics
image-manipulation-localization
multi-agent
qwen2.5-vl
Instructions to use moindy/MADL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moindy/MADL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="moindy/MADL") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moindy/MADL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from moindy/MADL: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
-
https://huggingface.co/moindy/MADL/resolve/main/.gitattributes
- Command line
-
hf download hf://moindy/MADL/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/moindy/MADL/resolve/main/.gitattributes
202 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.pth filter=lfs diff=lfs merge=lfs -text | |
| agent_a_qwen_lora/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |