Bump release

README.md

@@ -125,7 +125,7 @@ Then run the following script:
 python utils/generate_notebooks.py --output_dir nbs
 ```
 
-This script extracts all the code snippets from the English chapters and stores them as notebooks in the `nbs` folder (which is ignored by Git by default).
+This script extracts all the code snippets from the chapters and stores them as notebooks in the `nbs` folder (which is ignored by Git by default).
 
 ## ✍️ Contributing a new chapter
 

chapters/de/chapter3/2.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section2_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section2_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/de/chapter3/section2_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/de/chapter3/section2_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section2_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section2_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/de/chapter3/section2_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/de/chapter3/section2_tf.ipynb"},
 ]} />
 
 {/if}

chapters/de/chapter3/3.mdx

@@ -5,8 +5,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section3.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section3.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/de/chapter3/section3.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/de/chapter3/section3.ipynb"},
 ]} />
 
 <Youtube id="nvBXf7s7vTI"/>

chapters/de/chapter3/3_tf.mdx

@@ -5,8 +5,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section3_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section3_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/de/chapter3/section3_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/de/chapter3/section3_tf.ipynb"},
 ]} />
 
 Wenn du die Datenvorverarbeitung im letzten Abschnitt abgeschlossen hast, brauchst es nur noch wenige Schritte, um das Modell zu trainieren. Beachte jedoch, dass der Befehl `model.fit()` auf einer CPU sehr langsam läuft. Wenn du keinen GPU hast, kannst du auf [Google Colab] (https://colab.research.google.com/) kostenlos auf GPUs und TPUs zugreifen.

chapters/de/chapter3/4.mdx

@@ -3,8 +3,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section4.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section4.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/de/chapter3/section4.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/de/chapter3/section4.ipynb"},
 ]} />
 
 <Youtube id="Dh9CL8fyG80"/>

chapters/en/chapter1/3.mdx

@@ -3,8 +3,8 @@
 <CourseFloatingBanner chapter={1}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter1/section3.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter1/section3.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter1/section3.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter1/section3.ipynb"},
 ]} />
 
 In this section, we will look at what Transformer models can do and use our first tool from the 🤗 Transformers library: the `pipeline()` function.

chapters/en/chapter1/8.mdx

@@ -3,8 +3,8 @@
 <CourseFloatingBanner chapter={1}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter1/section8.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter1/section8.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter1/section8.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter1/section8.ipynb"},
 ]} />
 
 If your intent is to use a pretrained model or a fine-tuned version in production, please be aware that, while these models are powerful tools, they come with limitations. The biggest of these is that, to enable pretraining on large amounts of data, researchers often scrape all the content they can find, taking the best as well as the worst of what is available on the internet. 

chapters/en/chapter2/2.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section2_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section2_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section2_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section2_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section2_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section2_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section2_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section2_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter2/3.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section3_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section3_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section3_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section3_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section3_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section3_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section3_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section3_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter2/4.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section4_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section4_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section4_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section4_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section4_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section4_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section4_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section4_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter2/5.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section5_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section5_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section5_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section5_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section5_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section5_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section5_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section5_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter2/6.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section6_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section6_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section6_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section6_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={2}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter2/section6_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter2/section6_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter2/section6_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter2/section6_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter3/2.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section2_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section2_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter3/section2_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter3/section2_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section2_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section2_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter3/section2_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter3/section2_tf.ipynb"},
 ]} />
 
 {/if}

chapters/en/chapter3/3.mdx

@@ -5,8 +5,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section3.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section3.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter3/section3.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter3/section3.ipynb"},
 ]} />
 
 <Youtube id="nvBXf7s7vTI"/>

chapters/en/chapter3/3_tf.mdx

@@ -5,8 +5,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section3_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section3_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter3/section3_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter3/section3_tf.ipynb"},
 ]} />
 
 Once you've done all the data preprocessing work in the last section, you have just a few steps left to train the model. Note, however, that the `model.fit()` command will run very slowly on a CPU. If you don't have a GPU set up, you can get access to free GPUs or TPUs on [Google Colab](https://colab.research.google.com/).

chapters/en/chapter3/4.mdx

@@ -3,8 +3,8 @@
 <CourseFloatingBanner chapter={3}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter3/section4.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter3/section4.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter3/section4.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter3/section4.ipynb"},
 ]} />
 
 <Youtube id="Dh9CL8fyG80"/>

chapters/en/chapter4/2.mdx

@@ -7,17 +7,17 @@
 <CourseFloatingBanner chapter={4}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter4/section2_pt.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter4/section2_pt.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter4/section2_pt.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter4/section2_pt.ipynb"},
 ]} />
 
 {:else}
 
 <CourseFloatingBanner chapter={4}
   classNames="absolute z-10 right-0 top-0"
   notebooks={[
-    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter4/section2_tf.ipynb"},
-    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter4/section2_tf.ipynb"},
+    {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter4/section2_tf.ipynb"},
+    {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter4/section2_tf.ipynb"},
 ]} />
 
 {/if}