SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Fix typos in strings and comments (#37784)

Browse Source 
* Fix typos in strings and comments

* Fix
This commit is contained in:
co63oc
2025-04-25 20:47:25 +08:00
committed by GitHub
parent ba3bd37253
commit 214062201e
232 changed files with 431 additions and 425 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
tests/models/bert/test_modeling_tf_bert.py
View File

@@ -650,7 +650,7 @@ class TFBertModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTester
def test_causal_lm_base_model(self):
"""Test the base model of the causal LM model
is_deocder=True, no cross_attention, no encoder outputs
is_decoder=True, no cross_attention, no encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_causal_lm_base_model(*config_and_inputs)
@@ -658,7 +658,7 @@ class TFBertModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTester
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

4
tests/models/electra/test_modeling_tf_electra.py
View File

@@ -533,7 +533,7 @@ class TFElectraModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_causal_lm_base_model(self):
"""Test the base model of the causal LM model
is_deocder=True, no cross_attention, no encoder outputs
is_decoder=True, no cross_attention, no encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_causal_lm_base_model(*config_and_inputs)
@@ -541,7 +541,7 @@ class TFElectraModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

2
tests/models/esm/test_modeling_tf_esm.py
View File

@@ -236,7 +236,7 @@ class TFEsmModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestCase)
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

4
tests/models/rembert/test_modeling_tf_rembert.py
View File

@@ -618,7 +618,7 @@ class TFRemBertModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_causal_lm_base_model(self):
"""Test the base model of the causal LM model
is_deocder=True, no cross_attention, no encoder outputs
is_decoder=True, no cross_attention, no encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_causal_lm_base_model(*config_and_inputs)
@@ -626,7 +626,7 @@ class TFRemBertModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

4
tests/models/roberta/test_modeling_tf_roberta.py
View File

@@ -592,7 +592,7 @@ class TFRobertaModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_causal_lm_base_model(self):
"""Test the base model of the causal LM model
is_deocder=True, no cross_attention, no encoder outputs
is_decoder=True, no cross_attention, no encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_causal_lm_base_model(*config_and_inputs)
@@ -600,7 +600,7 @@ class TFRobertaModelTest(TFModelTesterMixin, PipelineTesterMixin, unittest.TestC
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

4
tests/models/roberta_prelayernorm/test_modeling_tf_roberta_prelayernorm.py
View File

@@ -594,7 +594,7 @@ class TFRobertaPreLayerNormModelTest(TFModelTesterMixin, PipelineTesterMixin, un
def test_causal_lm_base_model(self):
"""Test the base model of the causal LM model
is_deocder=True, no cross_attention, no encoder outputs
is_decoder=True, no cross_attention, no encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs()
self.model_tester.create_and_check_causal_lm_base_model(*config_and_inputs)
@@ -602,7 +602,7 @@ class TFRobertaPreLayerNormModelTest(TFModelTesterMixin, PipelineTesterMixin, un
def test_model_as_decoder(self):
"""Test the base model as a decoder (of an encoder-decoder architecture)
is_deocder=True + cross_attention + pass encoder outputs
is_decoder=True + cross_attention + pass encoder outputs
"""
config_and_inputs = self.model_tester.prepare_config_and_inputs_for_decoder()
self.model_tester.create_and_check_model_as_decoder(*config_and_inputs)

2
tests/test_processing_common.py
View File

@@ -1103,7 +1103,7 @@ class ProcessorTesterMixin:
signature.parameters.get("videos") is not None
and signature.parameters["videos"].annotation == inspect._empty
):
self.skipTest(f"{self.processor_class} does not suport video inputs")
self.skipTest(f"{self.processor_class} does not support video inputs")
if "feature_extractor" not in self.processor_class.attributes:
self.skipTest(f"feature_extractor attribute not present in {self.processor_class}")