Token Classification
SpanMarker
Safetensors
ner
named-entity-recognition
generated_from_span_marker_trainer
Eval Results (legacy)
Instructions to use iahlt/span-marker-alephbert-small-nemo-mt-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use iahlt/span-marker-alephbert-small-nemo-mt-he with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("iahlt/span-marker-alephbert-small-nemo-mt-he") - Notebooks
- Google Colab
- Kaggle
Commit ·
d6e95b9
1
Parent(s): a0b5201
Update README.md
Browse files
README.md
CHANGED
|
@@ -127,7 +127,7 @@ text = "יו\"ר ועדת הנוער נתן סלובטיק אמר שהשחקני
|
|
| 127 |
doc = nlp(text)
|
| 128 |
print([(entity, entity.label_) for entity in doc.ents])
|
| 129 |
# [(ועדת הנוער, 'ORG'), (נתן סלובטיק, 'PER'), (אירופה, 'GPE')]
|
| 130 |
-
```
|
| 131 |
|
| 132 |
## Training Details
|
| 133 |
|
|
|
|
| 127 |
doc = nlp(text)
|
| 128 |
print([(entity, entity.label_) for entity in doc.ents])
|
| 129 |
# [(ועדת הנוער, 'ORG'), (נתן סלובטיק, 'PER'), (אירופה, 'GPE')]
|
| 130 |
+
```
|
| 131 |
|
| 132 |
## Training Details
|
| 133 |
|