Repo for external large-scale work
Role in this project:
ML Engineer Contributions:58 reviews, 35 commits, 37 PRs in 7 months
Contributions summary:Punit primarily focused on enhancing the metaseq library, particularly in the area of model training and inference. Their work included supporting document-level attention, crucial for training model parallel models, and addressing related bugs in transformer decoder modules. The user also implemented bug fixes, code formatting changes, and added documentation. Moreover, they were involved in integration tests, ensuring compatibility with Hugging Face models.
transformersdockerscalelarge-scalehuggingface
Contributions:1 push, 1 branch in 3 years 10 months