1.32.0

1.32.0

New Features

• Registry: Extended ParamSpec support to scikit-learn models. Parameters declared in the model signature
  can now be passed at inference time, matching the existing support for custom models.
• Registry: infer_signature() now accepts a dict for the params argument (e.g.,
  params={"temperature": 0.7, "max_tokens": 100}), automatically inferring ParamSpec objects
  from the Python value types. The existing Sequence[BaseParamSpec] form is still supported.

Bug Fixes

• Experiment Tracking live logging (PrPr): Fixed a bug where the tracebacks for uncaught exceptions were not logged
  when the code was running inside Snowflake notebooks.

Behavior Changes

• Registry: The models from huggingface.TransformersPipeline and transformers.Pipeline will default to safetensors
  file format by default by using safe_serialization=True parameter to the save_pretrained call. This creates
  safetensors files instead of PyTorch binaries or pt files, addressing security vulnerability CVE-2025-32434.

Deprecations