Add many missing spaces in adjacent strings (#26751)

Add missing spaces in adjacent strings

src/transformers/models/pop2piano/feature_extraction_pop2piano.py

@@ -407,9 +407,9 @@ class Pop2PianoFeatureExtractor(SequenceFeatureExtractor):
                     )
                 else:
                     warnings.warn(
-                        f"The sampling_rate of the provided audio is different from the target sampling_rate"
+                        f"The sampling_rate of the provided audio is different from the target sampling_rate "
                         f"of the Feature Extractor, {self.sampling_rate} vs {single_sampling_rate}. "
-                        f"In these cases it is recommended to use `resample=True` in the `__call__` method to"
+                        f"In these cases it is recommended to use `resample=True` in the `__call__` method to "
                         f"get the optimal behaviour."
                     )
 

src/transformers/models/sew/configuration_sew.py

@@ -229,9 +229,9 @@ class SEWConfig(PretrainedConfig):
             or (len(self.conv_dim) != self.num_feat_extract_layers)
         ):
             raise ValueError(
-                "Configuration for convolutional layers is incorrect."
-                "It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"
-                f"but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride)"
+                "Configuration for convolutional layers is incorrect. "
+                "It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`, "
+                f"but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride) "
                 f"= {len(self.conv_stride)}`, `len(config.conv_kernel) = {len(self.conv_kernel)}`."
             )
 

src/transformers/models/sew/modeling_sew.py

@@ -1018,7 +1018,7 @@ class SEWForCTC(SEWPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1151,7 +1151,7 @@ class SEWForSequenceClassification(SEWPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )

src/transformers/models/sew_d/configuration_sew_d.py

@@ -256,9 +256,9 @@ class SEWDConfig(PretrainedConfig):
             or (len(self.conv_dim) != self.num_feat_extract_layers)
         ):
             raise ValueError(
-                "Configuration for convolutional layers is incorrect."
-                "It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"
-                f"but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride)"
+                "Configuration for convolutional layers is incorrect. "
+                "It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`, "
+                f"but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride) "
                 f"= {len(self.conv_stride)}`, `len(config.conv_kernel) = {len(self.conv_kernel)}`."
             )
 

src/transformers/models/sew_d/modeling_sew_d.py

@@ -1558,7 +1558,7 @@ class SEWDForCTC(SEWDPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1691,7 +1691,7 @@ class SEWDForSequenceClassification(SEWDPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )

src/transformers/models/speech_to_text_2/tokenization_speech_to_text_2.py

@@ -199,7 +199,7 @@ class Speech2Text2Tokenizer(PreTrainedTokenizer):
         if self.bpe_ranks is None:
             raise ValueError(
                 "This tokenizer was instantiated without a `merges.txt` file, so"
-                " that it can only be used for decoding, not for encoding."
+                " that it can only be used for decoding, not for encoding. "
                 "Make sure to provide `merges.txt` file at instantiation to enable "
                 "encoding."
             )

src/transformers/models/switch_transformers/modeling_switch_transformers.py

@@ -1774,13 +1774,13 @@ class SwitchTransformersForConditionalGeneration(SwitchTransformersPreTrainedMod
 
             if reordered_layer_past_states[0].shape != layer_past_states[0].shape:
                 raise ValueError(
-                    "expected reordered_layer_past_states to have the same shape than layer_past_states"
+                    "expected reordered_layer_past_states to have the same shape than layer_past_states, "
                     f"but got {reordered_layer_past_states[0].shape} and {layer_past_states[0].shape}"
                 )
             if len(reordered_layer_past_states) != len(layer_past_states):
                 raise ValueError(
-                    "expected layer_past_states to have the same length as reordered_layer_past_states"
-                    f"got {len(layer_past_states)} and {len(reordered_layer_past_states)}"
+                    "expected layer_past_states to have the same length as reordered_layer_past_states, "
+                    f"but got {len(layer_past_states)} and {len(reordered_layer_past_states)}"
                 )
 
             reordered_decoder_past = reordered_decoder_past + (reordered_layer_past_states,)

src/transformers/models/t5/configuration_t5.py

@@ -127,7 +127,7 @@ class T5Config(PretrainedConfig):
 
         if len(act_info) > 1 and act_info[0] != "gated" or len(act_info) > 2:
             raise ValueError(
-                f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
+                f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer. "
                 "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
                 "'gated-gelu' or 'relu'"
             )

src/transformers/models/t5/modeling_t5.py

@@ -883,7 +883,7 @@ class T5PreTrainedModel(PreTrainedModel):
 
         if decoder_start_token_id is None:
             raise ValueError(
-                "self.model.config.decoder_start_token_id has to be defined. In T5 it is usually set to the pad_token_id."
+                "self.model.config.decoder_start_token_id has to be defined. In T5 it is usually set to the pad_token_id. "
                 "See T5 docs for more information."
             )
 

src/transformers/models/t5/modeling_tf_t5.py

@@ -555,7 +555,7 @@ class TFT5Block(tf.keras.layers.Layer):
             if len(past_key_value) != expected_num_past_key_values:
                 raise ValueError(
                     f"There should be {expected_num_past_key_values} past states. "
-                    f"{'2 (past / key) for cross attention' if expected_num_past_key_values == 4 else ''}."
+                    f"{'2 (past / key) for cross attention' if expected_num_past_key_values == 4 else ''}. "
                     f"Got {len(past_key_value)} past key / value states"
                 )
 

src/transformers/models/tapas/modeling_tf_tapas.py

@@ -66,8 +66,8 @@ if is_tensorflow_probability_available():
         n = tfp.distributions.Normal(loc=0.0, scale=1.0)
     except ImportError:
         logger.error(
-            "TAPAS models are not usable since `tensorflow_probability` can't be loaded."
-            "It seems you have `tensorflow_probability` installed with the wrong tensorflow version."
+            "TAPAS models are not usable since `tensorflow_probability` can't be loaded. "
+            "It seems you have `tensorflow_probability` installed with the wrong tensorflow version. "
             "Please try to reinstall it following the instructions here: https://github.com/tensorflow/probability."
         )
 

src/transformers/models/transfo_xl/modeling_transfo_xl.py

@@ -1012,7 +1012,7 @@ class TransfoXLLMHeadModel(TransfoXLPreTrainedModel):
 
         if not self.trainer_compatible:
             warnings.warn(
-                "The output of TransfoXL will be updated in v5 to support a single loss as first argument. In order"
+                "The output of TransfoXL will be updated in v5 to support a single loss as first argument. In order "
                 "to use that updated output, please specify `trainer_compatible=True` as your configuration"
                 " attribute.",
                 DeprecationWarning,

src/transformers/models/umt5/configuration_umt5.py

@@ -134,7 +134,7 @@ class UMT5Config(PretrainedConfig):
 
         if len(act_info) > 1 and act_info[0] != "gated" or len(act_info) > 2:
             raise ValueError(
-                f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
+                f"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer. "
                 "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
                 "'gated-gelu' or 'relu'"
             )

src/transformers/models/umt5/modeling_umt5.py

@@ -566,7 +566,7 @@ class UMT5PreTrainedModel(PreTrainedModel):
 
         if decoder_start_token_id is None:
             raise ValueError(
-                "self.model.config.decoder_start_token_id has to be defined. In UMT5 it is usually set to the pad_token_id."
+                "self.model.config.decoder_start_token_id has to be defined. In UMT5 it is usually set to the pad_token_id. "
                 "See UMT5 docs for more information."
             )
 

src/transformers/models/unispeech/modeling_unispeech.py

@@ -1256,7 +1256,7 @@ class UniSpeechForPreTraining(UniSpeechPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1427,7 +1427,7 @@ class UniSpeechForCTC(UniSpeechPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1560,7 +1560,7 @@ class UniSpeechForSequenceClassification(UniSpeechPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )

src/transformers/models/unispeech_sat/modeling_unispeech_sat.py

@@ -1276,7 +1276,7 @@ class UniSpeechSatForPreTraining(UniSpeechSatPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1434,7 +1434,7 @@ class UniSpeechSatForCTC(UniSpeechSatPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1567,7 +1567,7 @@ class UniSpeechSatForSequenceClassification(UniSpeechSatPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1690,7 +1690,7 @@ class UniSpeechSatForAudioFrameClassification(UniSpeechSatPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1857,7 +1857,7 @@ class UniSpeechSatForXVector(UniSpeechSatPreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )

src/transformers/models/vision_encoder_decoder/modeling_tf_vision_encoder_decoder.py

@@ -709,6 +709,6 @@ class TFVisionEncoderDecoderModel(TFPreTrainedModel, TFCausalLanguageModelingLos
 
     def resize_token_embeddings(self, *args, **kwargs):
         raise NotImplementedError(
-            "Resizing the embedding layers via the TFVisionEncoderDecoderModel directly is not supported."
+            "Resizing the embedding layers via the TFVisionEncoderDecoderModel directly is not supported. "
             "Please use the respective methods of the wrapped objects (model.decoder.resize_token_embeddings(...))"
         )

src/transformers/models/vit/modeling_vit.py

@@ -698,7 +698,7 @@ class ViTForMaskedImageModeling(ViTPreTrainedModel):
         if bool_masked_pos is not None and (self.config.patch_size != self.config.encoder_stride):
             raise ValueError(
                 "When `bool_masked_pos` is provided, `patch_size` must be equal to `encoder_stride` to ensure that "
-                "the reconstructed image has the same dimensions as the input."
+                "the reconstructed image has the same dimensions as the input. "
                 f"Got `patch_size` = {self.config.patch_size} and `encoder_stride` = {self.config.encoder_stride}."
             )
 

src/transformers/models/wav2vec2/modeling_tf_wav2vec2.py

@@ -1438,7 +1438,7 @@ class TFWav2Vec2ForCTC(TFWav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1593,7 +1593,7 @@ class TFWav2Vec2ForSequenceClassification(TFWav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )

src/transformers/models/wav2vec2/modeling_wav2vec2.py

@@ -1480,7 +1480,7 @@ class Wav2Vec2Model(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1627,7 +1627,7 @@ class Wav2Vec2ForPreTraining(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -1923,7 +1923,7 @@ class Wav2Vec2ForCTC(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -2055,7 +2055,7 @@ class Wav2Vec2ForSequenceClassification(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -2176,7 +2176,7 @@ class Wav2Vec2ForAudioFrameClassification(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )
@@ -2340,7 +2340,7 @@ class Wav2Vec2ForXVector(Wav2Vec2PreTrainedModel):
         not be updated during training.
         """
         warnings.warn(
-            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5."
+            "The method `freeze_feature_extractor` is deprecated and will be removed in Transformers v5. "
             "Please use the equivalent `freeze_feature_encoder` method instead.",
             FutureWarning,
         )