Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,11 @@ tags:
|
|
| 15 |
|
| 16 |
## GLiNER Arabic Rich Model (v2.1)
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
`gliner_arabic-v2.1_rich` is a specialized Named Entity Recognition (NER) model designed for processing Arabic text with high accuracy and robustness. Built on top of the `urchade/gliner_large-v2` base model, this version has been fine-tuned to excel in identifying a wide range of entities in Arabic, making it suitable for applications requiring rich entity extraction in Arabic-language datasets. The model also supports English to a limited extent, enabling cross-lingual use cases.
|
| 19 |
|
| 20 |
This model is part of the **GLiNER** family, leveraging the Generalized Language-augmented Multimodal Entity Recognition framework to provide state-of-the-art performance in token classification tasks.
|
|
|
|
| 15 |
|
| 16 |
## GLiNER Arabic Rich Model (v2.1)
|
| 17 |
|
| 18 |
+
|
| 19 |
+
<p align="center">
|
| 20 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/_HcjXL077WrX5eAQWjUuW.png" width="600"/>
|
| 21 |
+
</p>
|
| 22 |
+
|
| 23 |
`gliner_arabic-v2.1_rich` is a specialized Named Entity Recognition (NER) model designed for processing Arabic text with high accuracy and robustness. Built on top of the `urchade/gliner_large-v2` base model, this version has been fine-tuned to excel in identifying a wide range of entities in Arabic, making it suitable for applications requiring rich entity extraction in Arabic-language datasets. The model also supports English to a limited extent, enabling cross-lingual use cases.
|
| 24 |
|
| 25 |
This model is part of the **GLiNER** family, leveraging the Generalized Language-augmented Multimodal Entity Recognition framework to provide state-of-the-art performance in token classification tasks.
|