Image-Text-to-Text
PEFT
Safetensors
qlora
vision-language
insurance
document-qc
policy-issuance
conversational
Instructions to use caiotheodoro/suture-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use caiotheodoro/suture-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "caiotheodoro/suture-8b") - Notebooks
- Google Colab
- Kaggle
card: name the six sample PNGs
Browse files
README.md
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Two images: binder page, then policy page. Output schema is in the repo `CONTRACTS.md`. Training and eval in this project used Modal 4-bit, 384px (`cloud/modal_eval.py`).
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Sample pages (forge-rendered, not carrier scans)
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## Training
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Two images: binder page, then policy page. Output schema is in the repo `CONTRACTS.md`. Training and eval in this project used Modal 4-bit, 384px (`cloud/modal_eval.py`).
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Sample pages (forge-rendered, not carrier scans) under `samples/`: PASS pair, `DEDUCTIBLE_HIGHER` pair, `AI_MISSING` pair.
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## Training
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