Remove double brackets

src/transformers/pipelines/audio_classification.py

@@ -81,7 +81,7 @@ class AudioClassificationPipeline(Pipeline):
     [{'score': 0.997, 'label': '_unknown_'}, {'score': 0.002, 'label': 'left'}, {'score': 0.0, 'label': 'yes'}, {'score': 0.0, 'label': 'down'}, {'score': 0.0, 'label': 'stop'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
 
     This pipeline can currently be loaded from [`pipeline`] using the following task identifier:

src/transformers/pipelines/automatic_speech_recognition.py

@@ -118,7 +118,7 @@ class AutomaticSpeechRecognitionPipeline(ChunkPipeline):
     {'text': ' He hoped there would be stew for dinner, turnips and carrots and bruised potatoes and fat mutton pieces to be ladled out in thick, peppered flour fat and sauce.'}
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     Arguments:
         model ([`PreTrainedModel`] or [`TFPreTrainedModel`]):

src/transformers/pipelines/conversational.py

@@ -181,7 +181,7 @@ class ConversationalPipeline(Pipeline):
     "It's a comedy."
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This conversational pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"conversational"`.

src/transformers/pipelines/depth_estimation.py

@@ -36,7 +36,7 @@ class DepthEstimationPipeline(Pipeline):
     torch.Size([1, 384, 384])
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
 
     This depth estimation pipeline can currently be loaded from [`pipeline`] using the following task identifier:

src/transformers/pipelines/document_question_answering.py

@@ -119,7 +119,7 @@ class DocumentQuestionAnsweringPipeline(ChunkPipeline):
     [{'score': 0.425, 'answer': 'us-001', 'start': 16, 'end': 16}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This document question answering pipeline can currently be loaded from [`pipeline`] using the following task
     identifier: `"document-question-answering"`.

src/transformers/pipelines/feature_extraction.py

@@ -20,7 +20,7 @@ class FeatureExtractionPipeline(Pipeline):
     torch.Size([1, 8, 768])
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This feature extraction pipeline can currently be loaded from [`pipeline`] using the task identifier:
     `"feature-extraction"`.

src/transformers/pipelines/fill_mask.py

@@ -46,7 +46,7 @@ class FillMaskPipeline(Pipeline):
     [{'score': 0.042, 'token': 3291, 'token_str': 'problem', 'sequence': 'this is a simple problem.'}, {'score': 0.031, 'token': 3160, 'token_str': 'question', 'sequence': 'this is a simple question.'}, {'score': 0.03, 'token': 8522, 'token_str': 'equation', 'sequence': 'this is a simple equation.'}, {'score': 0.027, 'token': 2028, 'token_str': 'one', 'sequence': 'this is a simple one.'}, {'score': 0.024, 'token': 3627, 'token_str': 'rule', 'sequence': 'this is a simple rule.'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This mask filling pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"fill-mask"`.

src/transformers/pipelines/image_classification.py

@@ -44,7 +44,7 @@ class ImageClassificationPipeline(Pipeline):
     [{'score': 0.442, 'label': 'macaw'}, {'score': 0.088, 'label': 'popinjay'}, {'score': 0.075, 'label': 'parrot'}, {'score': 0.073, 'label': 'parodist, lampooner'}, {'score': 0.046, 'label': 'poll, poll_parrot'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This image classification pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"image-classification"`.

src/transformers/pipelines/image_to_text.py

@@ -40,7 +40,7 @@ class ImageToTextPipeline(Pipeline):
     [{'generated_text': 'two birds are standing next to each other '}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This image to text pipeline can currently be loaded from pipeline() using the following task identifier:
     "image-to-text".

src/transformers/pipelines/object_detection.py

@@ -38,7 +38,7 @@ class ObjectDetectionPipeline(Pipeline):
     >>> # x, y  are expressed relative to the top left hand corner.
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This object detection pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"object-detection"`.

src/transformers/pipelines/question_answering.py

@@ -236,7 +236,7 @@ class QuestionAnsweringPipeline(ChunkPipeline):
     {'score': 0.9191, 'start': 34, 'end': 40, 'answer': 'Berlin'}
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This question answering pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"question-answering"`.

src/transformers/pipelines/table_question_answering.py

@@ -107,7 +107,7 @@ class TableQuestionAnsweringPipeline(Pipeline):
     {'answer': 'AVERAGE > 36542', 'coordinates': [(0, 1)], 'cells': ['36542'], 'aggregator': 'AVERAGE'}
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This tabular question answering pipeline can currently be loaded from [`pipeline`] using the following task
     identifier: `"table-question-answering"`.

src/transformers/pipelines/text2text_generation.py

@@ -39,7 +39,7 @@ class Text2TextGenerationPipeline(Pipeline):
     [{'generated_text': 'question: Who created the RuPERTa-base?'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
 
     This Text2TextGenerationPipeline pipeline can currently be loaded from [`pipeline`] using the following task

src/transformers/pipelines/text_classification.py

@@ -63,7 +63,7 @@ class TextClassificationPipeline(Pipeline):
     [{'label': 'NEGATIVE', 'score': 0.996}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This text classification pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"sentiment-analysis"` (for classifying sequences according to positive or negative sentiments).

src/transformers/pipelines/text_generation.py

@@ -36,7 +36,7 @@ class TextGenerationPipeline(Pipeline):
     >>> outputs = generator("My tart needs some", num_return_sequences=4, return_full_text=False)
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This language generation pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"text-generation"`.

src/transformers/pipelines/token_classification.py

@@ -110,7 +110,7 @@ class TokenClassificationPipeline(Pipeline):
     [{'entity_group': 'PRON', 'score': 0.999, 'word': 'my', 'start': 0, 'end': 2}, {'entity_group': 'NOUN', 'score': 0.997, 'word': 'name', 'start': 3, 'end': 7}, {'entity_group': 'AUX', 'score': 0.994, 'word': 'is', 'start': 8, 'end': 10}, {'entity_group': 'PROPN', 'score': 0.999, 'word': 'sarah', 'start': 11, 'end': 16}, {'entity_group': 'CCONJ', 'score': 0.999, 'word': 'and', 'start': 17, 'end': 20}, {'entity_group': 'PRON', 'score': 0.999, 'word': 'i', 'start': 21, 'end': 22}, {'entity_group': 'VERB', 'score': 0.998, 'word': 'live', 'start': 23, 'end': 27}, {'entity_group': 'ADP', 'score': 0.999, 'word': 'in', 'start': 28, 'end': 30}, {'entity_group': 'PROPN', 'score': 0.999, 'word': 'london', 'start': 31, 'end': 37}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This token recognition pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"ner"` (for predicting the classes of tokens in a sequence: person, organisation, location or miscellaneous).

src/transformers/pipelines/visual_question_answering.py

@@ -41,7 +41,7 @@ class VisualQuestionAnsweringPipeline(Pipeline):
     [{'score': 0.996, 'answer': 'no'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This visual question answering pipeline can currently be loaded from [`pipeline`] using the following task
     identifiers: `"visual-question-answering", "vqa"`.

src/transformers/pipelines/zero_shot_classification.py

@@ -74,7 +74,7 @@ class ZeroShotClassificationPipeline(ChunkPipeline):
     {'sequence': 'I have a problem with my iphone that needs to be resolved asap!!', 'labels': ['english', 'german'], 'scores': [0.814, 0.186]}
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This NLI pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"zero-shot-classification"`.

src/transformers/pipelines/zero_shot_image_classification.py

@@ -52,7 +52,7 @@ class ZeroShotImageClassificationPipeline(ChunkPipeline):
     [{'score': 0.996, 'label': 'black and white'}, {'score': 0.003, 'label': 'photorealist'}, {'score': 0.0, 'label': 'painting'}]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This image classification pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"zero-shot-image-classification"`.

src/transformers/pipelines/zero_shot_object_detection.py

@@ -52,7 +52,7 @@ class ZeroShotObjectDetectionPipeline(Pipeline):
     [[{'score': 0.119, 'label': 'bird', 'box': {'xmin': 71, 'ymin': 170, 'xmax': 410, 'ymax': 508}}]]
     ```
 
-    [Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)
+    Learn more about the basics of using a pipeline in the [pipeline tutorial](../pipeline_tutorial)
 
     This object detection pipeline can currently be loaded from [`pipeline`] using the following task identifier:
     `"zero-shot-object-detection"`.