Any-to-Any
Transformers
Safetensors
English
Chinese
qwen2_5_vl
text-generation
text-generation-inference
Instructions to use PaDT-MLLM/PaDT_Pro_3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaDT-MLLM/PaDT_Pro_3B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("PaDT-MLLM/PaDT_Pro_3B") model = AutoModelForSeq2SeqLM.from_pretrained("PaDT-MLLM/PaDT_Pro_3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b9a665782c980061ca3f5e1c10d4ecfa16e4cbeb2a2c9bc1b0d83cb8343d7d
- Size of remote file:
- 8.82 kB
- SHA256:
- 2991d6be67dc019e07ecfba7898c46e392c0da1380aed29b2c79c2292ab086e1
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