Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,11 @@
|
|
| 5 |
---
|
| 6 |
|
| 7 |
# XLM-RoBERTa Token Classification for Named Entity Recognition (NER)
|
| 8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
|
| 10 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
|
|
|
|
| 5 |
---
|
| 6 |
|
| 7 |
# XLM-RoBERTa Token Classification for Named Entity Recognition (NER)
|
| 8 |
+
This model is a fine-tuned version of XLM-RoBERTa (xlm-roberta-base) for Named Entity Recognition (NER) tasks. It has been trained on the PAN-X subset of the XTREME dataset for four languages: German (de), French (fr), Italian (it), and English (en). The model identifies the following entity types:
|
| 9 |
+
|
| 10 |
+
PER: Person names
|
| 11 |
+
ORG: Organization names
|
| 12 |
+
|
| 13 |
|
| 14 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
|