Transformers from scratch
Project description
rawformer
Transformers from scratch.
This library implements transformer architectures from pure PyTorch. It's not production ready, more so for my personal use and understanding.
Supported architectures:
- ViT
Supported positional encodings:
- Learned
- RoPE (1D and 2D)
Installation
pip install rawformer
This library uses runtime checks to validate itself and throw better error messages early. NOTE: Beartype is incompatible with torch.compile.
- Turn off runtime type checking with env var:
BEARTYPE=0 - Turn off python interpreter's assert statements with env var:
PYTHONOPTIMIZE=1
Developer install
uv sync --extra cpu
uv sync --extra cuda
pre-commit install
pre-commit run --all-files
uv pip install -e .
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