transformers
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ð€Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
# What does this PR do? I propose to add a test that aims to verify that we are able to reproduce the tokenization produced by the authors of MarkUpLM...
Added `num_channels` method for preprocessors and `num_query_channels` property for decoders.
## Summary - update the conversion verifier to build an additive attention mask that mirrors the original EoMT implementation instead of multiplying by a boolean mask - seed PyTorch before...
## Summary - bootstrap the DEIMv2 model package with configuration, modular/modeling code, and RT-DETR-derived image processors - add documentation stub and an RT-DETR-style test suite wired to the HGNetV2 backbone...