Uploaded beta

README.md

@@ -26,9 +26,9 @@ widget:
   example_title: FLEURS sample 2
 ---
 
-# NB-Whisper Tiny (beta)
+# NB-Whisper Base (beta)
 
-This is a **_public beta_** of the Norwegian NB-Whisper Tiny model released by the National Library of Norway. NB-Whisper is a series of models for automatic speech recognition (ASR) and speech translation, building upon the foundation laid by [OpenAI's Whisper](https://arxiv.org/abs/2212.04356). All models are trained on 20,000 hours of labeled data.
+This is a **_public beta_** of the Norwegian NB-Whisper Base model released by the National Library of Norway. NB-Whisper is a series of models for automatic speech recognition (ASR) and speech translation, building upon the foundation laid by [OpenAI's Whisper](https://arxiv.org/abs/2212.04356). All models are trained on 20,000 hours of labeled data.
 
 <center>
   <figure>
@@ -104,7 +104,7 @@ from transformers import pipeline
 
 asr = pipeline(
     "automatic-speech-recognition",
-    "NbAiLab/nb-whisper-tiny-beta"
+    "NbAiLab/nb-whisper-base-beta"
 )
 asr(
     "audio.mp3",