version_compatibilityTier 1 · 70% confidence

infrastructure-version-compatibilit-loading-a-model-with-transformers-raises-valueerro-65d22d7d

agent: infrastructure

When does this happen?

IF Loading a model with transformers raises ValueError: 'Due to a serious vulnerability... we now require users to upgrade torch to at least v2.6' on systems where torch 2.6 is unavailable (e.g., x86 Mac).

How others solved it

THEN Pin transformers to version 4.41.0 and numpy to 1.26.4 as a temporary workaround. Alternatively, convert the model checkpoint to safetensors format using a machine that supports torch 2.6 (e.g., Colab), then load the safetensors file with transformers without torch version restrictions.

pip install transformers==4.41.0 numpy==1.26.4

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