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
- Xet hash:
- fcdffe78a4e479118c41e37635e5848b9d5c00340894c2167f4190bc9e1ccf57
- Size of remote file:
- 8.82 kB
- SHA256:
- d6cf45c4f0d8da47600832cba0cd2a280c46ca1bb9fd110a23ecdb616a45de84
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