Visual Question Answering
Transformers
Safetensors
Chinese
English
qwen3_vl
image-text-to-text
Docision
document-understanding
candidate-scoring
qwen3-vl
Instructions to use SoMarkAI/Docision-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoMarkAI/Docision-1.0 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="SoMarkAI/Docision-1.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SoMarkAI/Docision-1.0") model = AutoModelForMultimodalLM.from_pretrained("SoMarkAI/Docision-1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model links to SoMarkAI/Docision-1.0
Browse files
README.md
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</div>
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<p align="center"><b>Jev-Inspired Multimodal Decisions for Documents.</b></p>
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<p align="center">
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<a href="https://huggingface.co/SoMarkAI/
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<a href="https://huggingface.co/datasets/Immortal-Zhang/doc-decision-bench"><img src="assets/badge-benchmark.svg" alt="Benchmark: doc-decision-bench" height="28"></a>
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</p>
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<table align="center" border="1" cellspacing="0" cellpadding="8" width="100%" style="width: 100%; display: table; table-layout: fixed; border-collapse: collapse; border: 1px solid #888;">
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<thead><tr><th width="50%" style="border: 1px solid #888; text-align: center;" align="center">Try our model</th><th width="50%" style="border: 1px solid #888; text-align: center;" align="center">Link</th></tr></thead>
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<tbody><tr><td width="50%" style="white-space: nowrap; border: 1px solid #888; text-align: center;" align="center">Docision-1.0</td><td width="50%" style="white-space: nowrap; border: 1px solid #888; text-align: center;" align="center">🤗 <a href="https://huggingface.co/SoMarkAI/
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</div>
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python3 -m venv .venv
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source .venv/bin/activate
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python -m pip install -e '.' huggingface_hub
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hf download SoMarkAI/
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CUDA_VISIBLE_DEVICES=0 python demo_docision.py \
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--model models/docision-1.0 \
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</div>
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<p align="center"><b>Jev-Inspired Multimodal Decisions for Documents.</b></p>
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<p align="center">
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<a href="https://huggingface.co/SoMarkAI/Docision-1.0"><img src="assets/badge-model.svg" alt="Hugging Face: Docision" height="28"></a>
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<a href="https://huggingface.co/datasets/Immortal-Zhang/doc-decision-bench"><img src="assets/badge-benchmark.svg" alt="Benchmark: doc-decision-bench" height="28"></a>
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</p>
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<table align="center" border="1" cellspacing="0" cellpadding="8" width="100%" style="width: 100%; display: table; table-layout: fixed; border-collapse: collapse; border: 1px solid #888;">
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<thead><tr><th width="50%" style="border: 1px solid #888; text-align: center;" align="center">Try our model</th><th width="50%" style="border: 1px solid #888; text-align: center;" align="center">Link</th></tr></thead>
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<tbody><tr><td width="50%" style="white-space: nowrap; border: 1px solid #888; text-align: center;" align="center">Docision-1.0</td><td width="50%" style="white-space: nowrap; border: 1px solid #888; text-align: center;" align="center">🤗 <a href="https://huggingface.co/SoMarkAI/Docision-1.0">Hugging Face</a></td></tr></tbody>
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</table>
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</div>
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python3 -m venv .venv
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source .venv/bin/activate
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python -m pip install -e '.' huggingface_hub
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hf download SoMarkAI/Docision-1.0 --local-dir models/docision-1.0
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CUDA_VISIBLE_DEVICES=0 python demo_docision.py \
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--model models/docision-1.0 \
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