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docs: fix return type annotation of get_default_model_revision (#35982)

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Marco Edward Gorelli
2025-02-13 10:59:15 +00:00
committed by GitHub
parent 6a1ab634b6
commit 3c912c9089
2 changed files with 8 additions and 4 deletions
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6
tests/pipelines/test_pipelines_common.py
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@@ -796,7 +796,7 @@ class CustomPipelineTest(unittest.TestCase):
pipeline_class=PairClassificationPipeline,
pt_model=AutoModelForSequenceClassification if is_torch_available() else None,
tf_model=TFAutoModelForSequenceClassification if is_tf_available() else None,
default={"pt": "hf-internal-testing/tiny-random-distilbert"},
default={"pt": ("hf-internal-testing/tiny-random-distilbert", "2ef615d")},
type="text",
)
assert "custom-text-classification" in PIPELINE_REGISTRY.get_supported_tasks()
@@ -806,7 +806,9 @@ class CustomPipelineTest(unittest.TestCase):
self.assertEqual(task_def["tf"], (TFAutoModelForSequenceClassification,) if is_tf_available() else ())
self.assertEqual(task_def["type"], "text")
self.assertEqual(task_def["impl"], PairClassificationPipeline)
self.assertEqual(task_def["default"], {"model": {"pt": "hf-internal-testing/tiny-random-distilbert"}})
self.assertEqual(
task_def["default"], {"model": {"pt": ("hf-internal-testing/tiny-random-distilbert", "2ef615d")}}
)
# Clean registry for next tests.
del PIPELINE_REGISTRY.supported_tasks["custom-text-classification"]