Rename master to main for notebooks links and leftovers (#16397)

docs/source/tasks/audio_classification.mdx

@@ -142,6 +142,6 @@ At this point, only three steps remain:
 
 <Tip>
 
-For a more in-depth example of how to fine-tune a model for audio classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/audio_classification.ipynb).
+For a more in-depth example of how to fine-tune a model for audio classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/audio_classification.ipynb).
 
 </Tip>

docs/source/tasks/image_classification.mdx

@@ -169,6 +169,6 @@ At this point, only three steps remain:
 
 <Tip>
 
-For a more in-depth example of how to fine-tune a model for image classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/image_classification.ipynb).
+For a more in-depth example of how to fine-tune a model for image classification, take a look at the corresponding [PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb).
 
 </Tip>

docs/source/tasks/language_modeling.mdx

@@ -412,7 +412,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for causal language modeling, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/language_modeling.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/language_modeling-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling-tf.ipynb).
 
 </Tip>

docs/source/tasks/question_answering.mdx

@@ -267,7 +267,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for question answering, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/question_answering.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/question_answering-tf.ipynb).
 
 </Tip>

docs/source/tasks/sequence_classification.mdx

@@ -208,7 +208,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for text classification, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/text_classification-tf.ipynb).
 
 </Tip>

docs/source/tasks/summarization.mdx

@@ -217,7 +217,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for summarization, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/summarization.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/summarization-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/summarization.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/summarization-tf.ipynb).
 
 </Tip>

docs/source/tasks/token_classification.mdx

@@ -266,7 +266,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for token classification, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/token_classification.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/token_classification-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/token_classification.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/token_classification-tf.ipynb).
 
 </Tip>

docs/source/tasks/translation.mdx

@@ -219,7 +219,7 @@ Call [`fit`](https://keras.io/api/models/model_training_apis/#fit-method) to fin
 <Tip>
 
 For a more in-depth example of how to fine-tune a model for translation, take a look at the corresponding
-[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation.ipynb)
-or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation-tf.ipynb).
+[PyTorch notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/translation.ipynb)
+or [TensorFlow notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/translation-tf.ipynb).
 
 </Tip>