fix: Restore compatibility with newer Python and transformers versions#204
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fix: Restore compatibility with newer Python and transformers versions#204
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Version 5.0.0 of transformers changed some of the buffers registered on a model when it is loaded, leading to mismatches when comparing newly-serialized models' keys against older ones. This change permits the extra tensors from <5.0.0 as an acceptable deviation when comparing keys between the deserialized model and reference model, without failing the test suite.
Python 3.14 switched to evaluating annotations lazily, so accessing the __annotations__ attribute directly from a metaclass doesn't work anymore. Co-authored-by: Neil Schemenauer <nas@arctrix.com>
Python 3.15 is removing the ability to construct NamedTuple classes using keyword arguments to specify fields and their types, so this switches to using the still-supported list-of-tuples functional syntax for it instead.
shajrawi
approved these changes
Apr 21, 2026
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Compatibility with Python 3.14 & 3.15, and
transformersv5This set of changes provides compatibility with newer Python versions, and improves the test suite's compatibility with
transformersv5.annotationlibrather than directly accessing__annotate_func__, as the latter is proscribed (see e.g. Python 3.14+: Warn against use of__annotate_func__and__annotations_cache__astral-sh/ruff#17859).NamedTupleclass.transformersv5 in the test suite is handled by ignoring keys only present in serialized files fromtransformersv4 and below when running with v5 or above, since those are expected differences.This includes a code version bump to v2.12.1. The changelog is updated accordingly.