Updated Transformer doc notebooks with commit 3f05e7c98710bd6131f846197635676ff8146e0e \n\nSee: huggingface/transformers@3f05e7c

Author: HuggingFaceDocBuilder

transformers_doc/custom_datasets.ipynb

@@ -126,7 +126,7 @@
    "source": [
     "The next step is to tokenize the text into a readable format by the model. It is important to load the same tokenizer a\n",
     "model was trained with to ensure appropriately tokenized words. Load the DistilBERT tokenizer with the\n",
-    "[AutoTokenizer](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoTokenizer) because we will eventually train a classifier using a pretrained [DistilBERT](https://huggingface.co/distilbert-base-uncased) model:"
+    "[AutoTokenizer](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoTokenizer) because we will eventually train a classifier using a pretrained [DistilBERT](https://huggingface.co/distilbert-base-uncased) model:"
    ]
   },
   {
@@ -207,7 +207,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now load your model with the [AutoModelForSequenceClassification](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoModelForSequenceClassification) class along with the number of expected labels:"
+    "Now load your model with the [AutoModelForSequenceClassification](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoModelForSequenceClassification) class along with the number of expected labels:"
    ]
   },
   {
@@ -227,8 +227,8 @@
    "source": [
     "At this point, only three steps remain:\n",
     "\n",
-    "1. Define your training hyperparameters in [TrainingArguments](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.TrainingArguments).\n",
-    "2. Pass the training arguments to a [Trainer](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.Trainer) along with the model, dataset, tokenizer, and data collator.\n",
+    "1. Define your training hyperparameters in [TrainingArguments](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.TrainingArguments).\n",
+    "2. Pass the training arguments to a [Trainer](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.Trainer) along with the model, dataset, tokenizer, and data collator.\n",
     "3. Call `Trainer.train()` to fine-tune your model."
    ]
   },
@@ -274,7 +274,7 @@
    "source": [
     "Fine-tuning with TensorFlow is just as easy, with only a few differences.\n",
     "\n",
-    "Start by batching the processed examples together with dynamic padding using the [DataCollatorWithPadding](https://huggingface.co/docs/transformers/master/en/main_classes/data_collator#transformers.DataCollatorWithPadding) function.\n",
+    "Start by batching the processed examples together with dynamic padding using the [DataCollatorWithPadding](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/data_collator#transformers.DataCollatorWithPadding) function.\n",
     "Make sure you set `return_tensors=\"tf\"` to return `tf.Tensor` outputs instead of PyTorch tensors!"
    ]
   },
@@ -345,7 +345,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load your model with the [TFAutoModelForSequenceClassification](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.TFAutoModelForSequenceClassification) class along with the number of expected labels:"
+    "Load your model with the [TFAutoModelForSequenceClassification](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.TFAutoModelForSequenceClassification) class along with the number of expected labels:"
    ]
   },
   {
@@ -548,7 +548,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now you need to tokenize the text. Load the DistilBERT tokenizer with an [AutoTokenizer](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoTokenizer):"
+    "Now you need to tokenize the text. Load the DistilBERT tokenizer with an [AutoTokenizer](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoTokenizer):"
    ]
   },
   {
@@ -680,7 +680,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load your model with the [AutoModelForTokenClassification](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoModelForTokenClassification) class along with the number of expected labels:"
+    "Load your model with the [AutoModelForTokenClassification](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoModelForTokenClassification) class along with the number of expected labels:"
    ]
   },
   {
@@ -698,7 +698,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Gather your training arguments in [TrainingArguments](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.TrainingArguments):"
+    "Gather your training arguments in [TrainingArguments](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.TrainingArguments):"
    ]
   },
   {
@@ -722,7 +722,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Collect your model, training arguments, dataset, data collator, and tokenizer in [Trainer](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.Trainer):"
+    "Collect your model, training arguments, dataset, data collator, and tokenizer in [Trainer](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.Trainer):"
    ]
   },
   {
@@ -814,7 +814,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load the model with the [TFAutoModelForTokenClassification](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.TFAutoModelForTokenClassification) class along with the number of expected labels:"
+    "Load the model with the [TFAutoModelForTokenClassification](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.TFAutoModelForTokenClassification) class along with the number of expected labels:"
    ]
   },
   {
@@ -990,7 +990,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load the DistilBERT tokenizer with an [AutoTokenizer](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoTokenizer):"
+    "Load the DistilBERT tokenizer with an [AutoTokenizer](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoTokenizer):"
    ]
   },
   {
@@ -1123,7 +1123,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load your model with the [AutoModelForQuestionAnswering](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.AutoModelForQuestionAnswering) class:"
+    "Load your model with the [AutoModelForQuestionAnswering](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.AutoModelForQuestionAnswering) class:"
    ]
   },
   {
@@ -1141,7 +1141,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Gather your training arguments in [TrainingArguments](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.TrainingArguments):"
+    "Gather your training arguments in [TrainingArguments](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.TrainingArguments):"
    ]
   },
   {
@@ -1165,7 +1165,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Collect your model, training arguments, dataset, data collator, and tokenizer in [Trainer](https://huggingface.co/docs/transformers/master/en/main_classes/trainer#transformers.Trainer):"
+    "Collect your model, training arguments, dataset, data collator, and tokenizer in [Trainer](https://huggingface.co/docs/transformers/doc-builder-html/en/main_classes/trainer#transformers.Trainer):"
    ]
   },
   {
@@ -1284,7 +1284,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Load your model with the [TFAutoModelForQuestionAnswering](https://huggingface.co/docs/transformers/master/en/model_doc/auto#transformers.TFAutoModelForQuestionAnswering) class:"
+    "Load your model with the [TFAutoModelForQuestionAnswering](https://huggingface.co/docs/transformers/doc-builder-html/en/model_doc/auto#transformers.TFAutoModelForQuestionAnswering) class:"
    ]
   },
   {