Spaces:

Gabriel
/

Swe_summarizer

Runtime error

Gabriel commited on Oct 11, 2022

Commit

08b0470

•

1 Parent(s): 5aaa406

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -76,12 +76,12 @@ with gr.Blocks() as demo:
             with gr.TabItem("The Summarization Engine"):
                 gr.Markdown("""
-                <h3>Abstractive vs Extractive.</h3>
                   <p>
                   Abstractive
 The underlying engines for the Abstractive part are transformer based model BART, a sequence-to-sequence model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. The BART-model was pre-trained by KBLab/bart-base-swedish-cased (link) to learn general knowledge about language. Afterwards, the model was further fine-tuned on two labelled datasets that have been open-sourced:
-Gabriel/cnn_daily_swe (link)
-Gabriel/xsum_swe (link)
 To see more in depth regarding the training go to link.

             with gr.TabItem("The Summarization Engine"):
                 gr.Markdown("""
+                <h3>Abstractive vs Extractive</h3>
                   <p>
                   Abstractive
 The underlying engines for the Abstractive part are transformer based model BART, a sequence-to-sequence model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. The BART-model was pre-trained by KBLab/bart-base-swedish-cased (link) to learn general knowledge about language. Afterwards, the model was further fine-tuned on two labelled datasets that have been open-sourced:
+- Gabriel/cnn_daily_swe (link)
+- Gabriel/xsum_swe (link)
 To see more in depth regarding the training go to link.