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:
- 79f3672618f23c2a685615e3966a6414a94eab16411697db7ae68522c680d653
- Size of remote file:
- 11.5 MB
- SHA256:
- b5c1be09b1106e73ad7d22b9a606d9dbac5d8472eab42e9e0b07ae5806dc0481
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