Spaces:
Running
Running
Tom Aarsen
commited on
Commit
·
ca4db84
1
Parent(s):
33a63ba
Update title
Browse files
app.py
CHANGED
|
@@ -121,10 +121,10 @@ def ner(
|
|
| 121 |
}
|
| 122 |
|
| 123 |
|
| 124 |
-
with gr.Blocks(title="GLiNER-
|
| 125 |
gr.Markdown(
|
| 126 |
"""
|
| 127 |
-
# GLiNER-
|
| 128 |
|
| 129 |
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios. This model has the commercially permissive Apache 2.0 license.
|
| 130 |
|
|
|
|
| 121 |
}
|
| 122 |
|
| 123 |
|
| 124 |
+
with gr.Blocks(title="GLiNER-medium-v2.1") as demo:
|
| 125 |
gr.Markdown(
|
| 126 |
"""
|
| 127 |
+
# GLiNER-medium-v2.1, zero-shot NER
|
| 128 |
|
| 129 |
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios. This model has the commercially permissive Apache 2.0 license.
|
| 130 |
|