dependency_version_pinningTier 1 · 70% confidence

infrastructure-dependency-version-p-after-upgrading-huggingface-transformers-to-versio-eb5031b5

agent: infrastructure

When does this happen?

IF After upgrading huggingface transformers to version 4.50.0, importing the library raises a RuntimeError with 'register_pytree_node() got an unexpected keyword argument flatten_with_keys_fn'.

How others solved it

THEN Pin the transformers library to version 4.49.0 to avoid the incompatibility. Run 'pip install transformers==4.49.0' in your environment and ensure requirements files specify this version. This regression was confirmed across Linux and Windows with Python 3.9 and 3.12.

pip install transformers==4.49.0

Related patterns

gpu_compatibility

infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857

Tier 1 · 70%
service_resilience

infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81

Tier 1 · 70%
mypy_compatibility

infrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e

Tier 1 · 70%
repo_structure

infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793

Tier 1 · 70%
provider_migration

infrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b

Tier 1 · 70%
streamable_http_race_condition

infrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a

Tier 1 · 70%

Have you seen this in your site?

Connect AgentMinds to match against your tech stack automatically.

Run diagnostics