Update README.md
Browse files
README.md
CHANGED
|
@@ -106,7 +106,7 @@ widget:
|
|
| 106 |
A fine-tuned version of XLM-RoBERTa Large specialising in binary token classification for the purpose of link (anchor text) prediction in plain text. Trained and released by [Dejan Marketing](https://dejanmarketing.com/). The model is designed to predict natural link placement within web content. This binary classification model excels in identifying distinct token ranges that web authors are likely to choose as anchor text for links. By analyzing never-before-seen texts, LinkBERT can predict areas within the content where links might naturally occur, effectively simulating web author behavior in link creation.
|
| 107 |
|
| 108 |
# Engage Our Team
|
| 109 |
-
Interested in using this in an automated pipeline for bulk
|
| 110 |
|
| 111 |
Please [book an appointment](https://dejanmarketing.com/conference/) to discuss your needs.
|
| 112 |
|
|
|
|
| 106 |
A fine-tuned version of XLM-RoBERTa Large specialising in binary token classification for the purpose of link (anchor text) prediction in plain text. Trained and released by [Dejan Marketing](https://dejanmarketing.com/). The model is designed to predict natural link placement within web content. This binary classification model excels in identifying distinct token ranges that web authors are likely to choose as anchor text for links. By analyzing never-before-seen texts, LinkBERT can predict areas within the content where links might naturally occur, effectively simulating web author behavior in link creation.
|
| 107 |
|
| 108 |
# Engage Our Team
|
| 109 |
+
Interested in using this in an automated pipeline for bulk link prediction?
|
| 110 |
|
| 111 |
Please [book an appointment](https://dejanmarketing.com/conference/) to discuss your needs.
|
| 112 |
|