Update README

README.md

@@ -5,9 +5,30 @@ widget:
 datasets:
 - TLMD
 - NTC
+metrics:
+- f1
+- precision
+- recall
+- accuracy
 model-index:
-- name: tiroberta-pos
-  results: []
+- name: tielectra-small-pos
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9456
+    - name: Precision
+      type: precision
+      value: 0.9456
+    - name: Recall
+      type: recall
+      value: 0.9456
+    - name: Accuracy
+      type: accuracy
+      value: 0.9456
 ---
 
 
@@ -16,6 +37,16 @@ model-index:
 This model is a fine-tuned version of [TiELECTRA](https://huggingface.co/fgaim/tielectra-small) on the NTC-v1 dataset (Tedla et al. 2016).
 
 
+## Basic usage
+
+```python
+from transformers import pipeline
+
+ti_pos = pipeline("token-classification", model="fgaim/tielectra-small-pos")
+ti_pos("ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር")
+```
+
+
 ## Training
 
 ### Hyperparameters
@@ -143,5 +174,7 @@ If you use this model in your product or research, please cite as follows:
 ## References
 
 ```
-Tedla, Y., Yamamoto, K. & Marasinghe, A. 2016. Tigrinya Part-of-Speech Tagging with Morphological Patterns and the New Nagaoka Tigrinya Corpus. International Journal Of Computer Applications 146 pp. 33-41 (2016).
+Tedla, Y., Yamamoto, K. & Marasinghe, A. 2016.
+Tigrinya Part-of-Speech Tagging with Morphological Patterns and the New Nagaoka Tigrinya Corpus.
+International Journal Of Computer Applications 146 pp. 33-41 (2016).
 ```