Update README.md

README.md

@@ -1,12 +1,27 @@
 ---
-language: en
+language:
+- en
+- fr
+- es
+- de
+- it
+- ko
+- ar
+- hi
+- id
+- ru
+- uk
+- pl
 license: bigscience-bloom-rail-1.0
 datasets:
 - bookcorpus
 - wikipedia
 pipeline_tag: token-classification
 widget:
-- text: "LinkBERT is an advanced fine-tuned version of the bert-large-cased model developed by Dejan Marketing. The model is designed to predict natural link placement within web content."
+- text: >-
+    LinkBERT is an advanced fine-tuned version of the bert-large-cased model
+    developed by Dejan Marketing. The model is designed to predict natural link
+    placement within web content.
 ---
 
 # LinkBERT: Fine-tuned BERT for Natural Link Prediction
@@ -107,4 +122,4 @@ This model has the following configuration:
 - 16 attention heads
 - 336M parameters.
 
-<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">Here&#39;s how we evaluated the quality of LinkBERT&#39;s predictions. <a href="https://t.co/n5D9asYxex">pic.twitter.com/n5D9asYxex</a></p>&mdash; DEJAN (@dejanseo) <a href="https://twitter.com/dejanseo/status/1768497786205650948?ref_src=twsrc%5Etfw">March 15, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
+<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">Here&#39;s how we evaluated the quality of LinkBERT&#39;s predictions. <a href="https://t.co/n5D9asYxex">pic.twitter.com/n5D9asYxex</a></p>&mdash; DEJAN (@dejanseo) <a href="https://twitter.com/dejanseo/status/1768497786205650948?ref_src=twsrc%5Etfw">March 15, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>