Seahorse is a Pytorch-based library for constructing and training large-scale transformer language models, providing tools for distributed training, model parallelism, and efficient memory usage. Currently at version 1.2.3, with active development.
pip install seahorseVerified import paths — ran on the pinned version, not inferred.
Load a pre-trained Seahorse model and run a forward pass.
Replace model_parallel=True with device_map='auto'.
Replace load_checkpoint('path') with SeaModel.from_pretrained('path').Verify Python version: python --version >= 3.11.