Update README.md

README.md

@@ -23,6 +23,7 @@ datasets:
 - tatoeba
 library_name: fasttext
 inference: false
+pipeline_tag: text-classification
 ---
 
 # NB-NORDIC-LID
@@ -66,7 +67,7 @@ nob,0.9999788999557495
 
 ### `nb-nordic-lid.bin`
 
-Trained on sentences from the [GiellaT's Tranlation Memories](https://giellalt.github.io/tm/TranslationMemories.html) and [Wortschatz's corpora](https://wortschatz.uni-leipzig.de/en/download).
+Trained on sentences from the [GiellaT's Translation Memories](https://giellalt.github.io/tm/TranslationMemories.html) and [Wortschatz's corpora](https://wortschatz.uni-leipzig.de/en/download).
 
 | ISO-639-3    | Language          |   Precision |   Recall |   F1-Score |   Support |
 |:-------------|:------------------|------------:|---------:|-----------:|----------:|
@@ -460,4 +461,4 @@ The small models are quantized versions of the large versions using a cutoff of
 
 ## Citing & Authors
 
-The model was trained by Javier de la Rosa. Data was prepared by Per Egil Kummervold and Javier de la Rosa. Documentation written by Javier de la Rosa.
+The model was trained by Javier de la Rosa. Data was prepared by Per Egil Kummervold and Javier de la Rosa. Documentation written by Javier de la Rosa.