Transformers
Safetensors
English
PCB
EDA
KiCAD
Hardware-Design
Schematic-Generation
LLM
Circuit-Design
Instructions to use microsoft/SchGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/SchGen with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/SchGen", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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➡️ **Base Model:** GPT-OSS-20B
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➡️ **License:** MIT
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➡️ **Framework:** Transformers
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➡️ **Context Length:** 13,312 tokens
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---
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➡️ **Base Model:** GPT-OSS-20B
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➡️ **License:** MIT
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➡️ **Framework:** Transformers
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➡️ **Context Length:** 13,312 tokens
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To cite this model and corresponding paper, please use the following bib item:
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```
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@misc{luo2026schgenpcbschematicgeneration,
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title={SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations},
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author={Qinpei Luo and Ruichun Ma and Xinyu Zhang and Lili Qiu},
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year={2026},
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eprint={2605.30345},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2605.30345},
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}
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```
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---
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