Any-to-Any
Transformers
Safetensors
English
Chinese
qwen2_5_vl
text-generation
text-generation-inference
Instructions to use PaDT-MLLM/PaDT_OVD_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDT-MLLM/PaDT_OVD_7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("PaDT-MLLM/PaDT_OVD_7B") model = AutoModelForSeq2SeqLM.from_pretrained("PaDT-MLLM/PaDT_OVD_7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd86fcf7ebed6a32711b327663124b3f836a74da28da20cd21e7ab9211826ba9
- Size of remote file:
- 8.82 kB
- SHA256:
- 1276dad137af55afdacecf5093e68226b233e7592812a3f85451a8fab27d3eba
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