YDS' comments

app.py

@@ -6,7 +6,7 @@ import gradio as gr
 from huggingface_hub import upload_file
 
 default_question = """
-We're going to use the <a href="https://huggingface.co/datasets/wikitext"><code>wikitext (link)</a></code> dataset with the <code><a href="https://huggingface.co/bert-base-cased?">bert-base-cased (link)</a></code> model checkpoint.
+We're going to use the <a href="https://huggingface.co/datasets/wikitext" target="_blank"><code>wikitext (link)</a></code> dataset with the <code><a href="https://huggingface.co/distilbert-base-cased" target="_blank">distilbert-base-cased (link)</a></code> model checkpoint.
 
 <br/><br/>
 
@@ -15,15 +15,15 @@ We'll tokenize this using the appropriate tokenizer, and we'll mask the sixth to
 
 <br/><br/>
 
-When using the <code>bert-base-cased</code> checkpoint to unmask that token, what is the most probable prediction?
+When using the <code>distilbert-base-cased</code> checkpoint to unmask that token, what is the most probable predicted token (please provide the decoded token, and not the ID)?
 
 <br/>
 <br/>
 Tips:
 <br/>
-- You might find the <a href="https://huggingface.co/docs/transformers/index">transformers docs (link)</a> useful.
+- You might find the <a href="https://huggingface.co/docs/transformers/index" target="_blank">transformers docs (link)</a> useful.
 <br/>
-- You might find the <a href="https://huggingface.co/docs/datasets/index">datasets docs (link)</a> useful.
+- You might find the <a href="https://huggingface.co/docs/datasets/index" target="_blank">datasets docs (link)</a> useful.
 """
 
 internships = {
@@ -86,4 +86,4 @@ with gr.Blocks() as demo:
 
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()