Update README.md

README.md

@@ -1,26 +1,65 @@
-
 ---
 tags:
 - autotrain
 - token-classification
+- arxiv:2104.09617
 base_model: NbAiLab/nb-bert-base
-widget:
-- text: "I love AutoTrain"
 datasets:
 - ltgoslo/norne
+license: apache-2.0
+language:
+- 'no'
+- nb
+- nn
+pipeline_tag: token-classification
+library_name: transformers
+inference:
+  parameters:
+    aggregation_strategy: "first"
+widget:
+- text: Trond Giske har bekreftet på spørsmål fra Adresseavisen at Hansen leide et rom i hans leilighet i Trondheim.
+model-index:
+- name: NbAiLab/nb-bert-base-pos
+  results:
+    - task:
+        name: Token Classification
+        type: token-classification
+      dataset:
+        name: ltgoslo/norne
+        type: ltgoslo/norne
+        args: bokmaal
+      metrics:
+        - name: Test Loss
+          type: loss
+          value: 0.0650700181722641
+        - name: Test Precision
+          type: precision
+          value: 0.985085078075765
+        - name: Test Recall
+          type: recall
+          value: 0.9877826148012919
+        - name: Test F1
+          type: f1
+          value: 0.9864320022438031
+        - name: Test Accuracy
+          type: accuracy
+          value: 0.9861949007001629
 ---
+**Release 1.0** (November 6, 2024)
 
-# Model Trained Using AutoTrain
-
-- Problem type: Token Classification
+# nb-bert-base-pos
 
-## Validation Metrics
-loss: 0.0650700181722641
+## Description
+NB-Bert base model fine-tuned on the Part of Speech task using the [NorNE dataset](https://huggingface.co/datasets/ltgoslo/norne).
 
-precision: 0.985085078075765
+## Usage
 
-recall: 0.9877826148012919
+```python
+from transformers import pipeline
 
-f1: 0.9864320022438031
+pos = pipeline("ner", "NbAiLab/nb-bert-base-pos")
+example = "Jeg heter Kjell og bor i Oslo."
 
-accuracy: 0.9861949007001629
+pos_results = pos(example)
+print(ner_results)
+```