Update Reader language options

docs/latest/guides/languages.mdx

@@ -89,6 +89,17 @@ there are a couple QA models that are directly usable in Haystack.
  </pre>
  ),
  },
+ {
+ title: "French",
+ content: (
+ <pre>
+ <code>from haystack.reader import FARMReader</code>
+ <code>
+ reader = FARMReader("etalab-ia/camembert-base-squadFR-fquad-piaf")
+ </code>
+ </pre>
+ ),
+ },
  {
  title: "Italian",
  content: (
@@ -137,13 +148,24 @@ there are a couple QA models that are directly usable in Haystack.
  content: (
  <Disclosures
  options={[
+ {
+ title: "German",
+ content: (
+ <pre>
+ <code>from haystack.reader import TransformersReader</code>
+ <code>
+ reader = TransformersReader("deepset/gelectra-large-germanquad")
+ </code>
+ </pre>
+ ),
+ },
  {
  title: "French",
  content: (
  <pre>
  <code>from haystack.reader import TransformersReader</code>
  <code>
- reader = TransformersReader("illuin/camembert-base-fquad")
+ reader = TransformersReader("etalab-ia/camembert-base-squadFR-fquad-piaf")
  </code>
  </pre>
  ),
@@ -154,8 +176,22 @@ there are a couple QA models that are directly usable in Haystack.
  <pre>
  <code>from haystack.reader import TransformersReader</code>
  <code>
- reader =
- TransformersReader("mrm8488/bert-italian-finedtuned-squadv1-it-alfa")
+ reader = TransformersReader("mrm8488/bert-italian-finedtuned-squadv1-it-alfa")
+ </code>
+ </pre>
+ ),
+ },
+ {
+ title: "Chinese",
+ content: (
+ <pre>
+ <code>from haystack.reader import TransformersReader</code>
+ <code>
+ reader = TransformersReader("uer/roberta-base-chinese-extractive-qa")
+ </code>
+ <code># or</code>
+ <code>
+ reader = TransformersReader("wptoux/albert-chinese-large-qa")
  </code>
  </pre>
  ),
@@ -166,8 +202,7 @@ there are a couple QA models that are directly usable in Haystack.
  <pre>
  <code>from haystack.reader import TransformersReader</code>
  <code>
- reader =
- TransformersReader("deepset/xlm-roberta-large-squad2")
+ reader = TransformersReader("deepset/xlm-roberta-large-squad2")
  </code>
  </pre>
  ),
@@ -185,7 +220,7 @@ We are the creators of the **German** model and you can find out more about it [
 
 The **French**, **Italian**, **Spanish**, **Portuguese** and **Chinese** models are monolingual language models trained on versions of the SQuAD dataset in their respective languages
 and their authors report decent results in their model cards
-(e.g. [here](https://huggingface.co/illuin/camembert-base-fquad) and [here](https://huggingface.co/mrm8488/bert-italian-finedtuned-squadv1-it-alfa)).
+(e.g. [here](https://huggingface.co/etalab-ia/camembert-base-squadFR-fquad-piaf) and [here](https://huggingface.co/mrm8488/bert-italian-finedtuned-squadv1-it-alfa)).
 There also exist Korean QA models on the model hub but their performance is not reported.
 
 The **zero-shot model** that is shown above is a **multilingual XLM-RoBERTa Large** that is trained on English SQuAD.