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ci: Update transformers to latest version 5.2.0 #1303

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ci: Update transformers to latest version 5.2.0 #1303

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9 changes: 4 additions & 5 deletions docker/common/uv-pytorch.lock
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Original file line number Diff line number Diff line change
Expand Up @@ -3322,7 +3322,7 @@ requires-dist = [
{ name = "torchcodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'vlm'" },
{ name = "torchdata" },
{ name = "transformer-engine", extras = ["pytorch"], marker = "extra == 'cuda'", specifier = "<=2.11.0" },
{ name = "transformers", specifier = ">=5.0.0" },
{ name = "transformers", specifier = "<=5.2.0" },
{ name = "wandb" },
]
provides-extras = ["cuda", "extra", "fa", "delta-databricks", "moe", "vlm", "all"]
Expand Down Expand Up @@ -6237,10 +6237,9 @@ wheels = [

[[package]]
name = "transformers"
version = "5.0.0"
version = "5.2.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "filelock" },
{ name = "huggingface-hub" },
{ name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" },
{ name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" },
Expand All @@ -6252,9 +6251,9 @@ dependencies = [
{ name = "tqdm" },
{ name = "typer-slim" },
]
sdist = { url = "https://files.pythonhosted.org/packages/bc/79/845941711811789c85fb7e2599cea425a14a07eda40f50896b9d3fda7492/transformers-5.0.0.tar.gz", hash = "sha256:5f5634efed6cf76ad068cc5834c7adbc32db78bbd6211fb70df2325a9c37dec8", size = 8424830, upload-time = "2026-01-26T10:46:46.813Z" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/4e/93/79754b0ca486e556c2b95d4f5afc66aaf4b260694f3d6e1b51da2d036691/transformers-5.2.0-py3-none-any.whl", hash = "sha256:9ecaf243dc45bee11a7d93f8caf03746accc0cb069181bbf4ad8566c53e854b4", size = 10403304, upload-time = "2026-02-16T18:53:59.699Z" },
]

[[package]]
Expand Down
2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -84,7 +84,7 @@ dependencies = [
"pyyaml",
"torch<=2.10.0",
"torchdata",
"transformers>=5.0.0",
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@oliverholworthy oliverholworthy Feb 26, 2026

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Does dropping the lower bound mean we'd want to support transformers 4.x? The current spec has >=5.0.0, and we may want to keep that if the codebase is built around 5.x APIs.

On the upper bound: <=5.2.0 feels a bit restrictive to me, since it would mean we'd need a dependency bump PR for every new minor release even if nothing breaks. And it would actively prevent users from using newer versions of transformers with Automodel even if nothing actually breaks. In my experience, unnecessarily tight upper bounds tend to be a pain point for downstream users of libraries.

Would something like >=5.0.0<6 work instead? That way we're protected against a major version change but still can enable use with 5.x releases without friction.

"transformers<=5.2.0",
"wandb",
"torchao",
"mlflow",
Expand Down
9 changes: 4 additions & 5 deletions uv.lock
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