Any-to-Any
Transformers
Safetensors
English
Chinese
qwen2_5_vl
text-generation
text-generation-inference
Instructions to use PaDT-MLLM/PaDT_OVD_3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDT-MLLM/PaDT_OVD_3B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("PaDT-MLLM/PaDT_OVD_3B") model = AutoModelForSeq2SeqLM.from_pretrained("PaDT-MLLM/PaDT_OVD_3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/TaskIntroduction.webp from PaDT-MLLM/PaDT_OVD_3B: direct link, hf CLI and curl.
- Browser
- Download file 1.47 MB
-
https://huggingface.co/PaDT-MLLM/PaDT_OVD_3B/resolve/main/assets/TaskIntroduction.webp
- Command line
-
hf download hf://PaDT-MLLM/PaDT_OVD_3B/assets/TaskIntroduction.webp
-
curl -L -o TaskIntroduction.webp https://huggingface.co/PaDT-MLLM/PaDT_OVD_3B/resolve/main/assets/TaskIntroduction.webp
1.47 MB

- Xet hash:
- 79b9283f7fb6b579aa55d725b46690101b294bd38357b554bafef8108f8c9eca
- Size of remote file:
- 1.47 MB
- SHA256:
- fccec4afd04b46702d10c3801368330450bdc656348529fd0f6a6abc6b817cd3
·
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