Transformers
Safetensors
English
schgen
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:
# pip install -U transformers accelerate # Load model directly from transformers import SchGen model = SchGen.from_pretrained("microsoft/SchGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from microsoft/SchGen: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/microsoft/SchGen/resolve/main/training_args.bin
- Command line
-
hf download hf://microsoft/SchGen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/microsoft/SchGen/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- 51b1be5d918d612fc8ddc51a04f3f08b701b8db1fdf652b3d4f203a433f1d0a2
- Size of remote file:
- 6.16 kB
- SHA256:
- 07011fa14cac144aaf184615d638ac93f8b2be6bac020fbab1daeeaf5e3ee080
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