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Fix links and incorrectly used code blocks #3528

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Aug 5, 2022
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Fix links and incorrectly used code blocks #3528

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6 changes: 3 additions & 3 deletions ...text_classification_20_newsgroups/hpo_huggingface_text_classification_20_newsgroups.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@
"Text Classification can be used to solve various use-cases like sentiment analysis, spam detection, hashtag prediction etc. \n",
"\n",
"\n",
"This notebook demonstrates the use of the [HuggingFace `transformers` library](https://huggingface.co/transformers/) together with a custom Amazon sagemaker-sdk extension to fine-tune a pre-trained transformer on multi class text classification. In particular, the pre-trained model will be fine-tuned using the [`20 newsgroups dataset`](http://qwone.com/~jason/20Newsgroups/). To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on."
"This notebook demonstrates the use of the [HuggingFace Transformers library](https://huggingface.co/transformers/) together with a custom Amazon sagemaker-sdk extension to fine-tune a pre-trained transformer on multi class text classification. In particular, the pre-trained model will be fine-tuned using the [20 Newsgroups dataset](http://qwone.com/~jason/20Newsgroups/). To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on."
]
},
{
Expand Down Expand Up @@ -107,7 +107,7 @@
"\n",
"Now we'll download a dataset from the web on which we want to train the text classification model.\n",
"\n",
"In this example, let us train the text classification model on the [`20 newsgroups dataset`](http://qwone.com/~jason/20Newsgroups/). The `20 newsgroups dataset` consists of 20000 messages taken from 20 Usenet newsgroups."
"In this example, let us train the text classification model on the [20 Newsgroups dataset](http://qwone.com/~jason/20Newsgroups/). The 20 Newsgroups dataset consists of 20000 messages taken from 20 Usenet newsgroups."
]
},
{
Expand Down Expand Up @@ -1040,7 +1040,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, let's define the SageMaker `HuggingFace` estimator with resource configurations and hyperparameters to train Text Classification on `20 newsgroups` dataset, running on a `p3.2xlarge` instance."
"Now, let's define the SageMaker `HuggingFace` estimator with resource configurations and hyperparameters to train Text Classification on 20 Newsgroups dataset, running on a `p3.2xlarge` instance."
]
},
{
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