Update README.md

README.md

@@ -1,27 +1,3 @@
----
-library_name: transformers
-tags: []
----
-
-{
-    "2450": "Mark",
-    "496": "Jessica",
-    "3060": "Daniel",
-    "12709": "Christine",
-    "1897": "Christopher",
-    "10148": "Nicole",
-    "4998": "Richard",
-    "4649": "Julia",
-    "6892": "Alex",
-    "7014": "Natalie",
-    "4367": "Nicholas",
-    "2961": "Sophia",
-    "3946": "Steven",
-    "10246": "Olivia",
-    "11772": "Megan",
-    "4174": "Michelle"
-  }
-
 ---
 library_name: transformers
 tags:
@@ -50,16 +26,35 @@ datasets:
 - PHBJT/cml-tts-filtered
 ---
 
+{
+    "2450": "Mark",
+    "496": "Jessica",
+    "3060": "Daniel",
+    "12709": "Christine",
+    "1897": "Christopher",
+    "10148": "Nicole",
+    "4998": "Richard",
+    "4649": "Julia",
+    "6892": "Alex",
+    "7014": "Natalie",
+    "4367": "Nicholas",
+    "2961": "Sophia",
+    "3946": "Steven",
+    "10246": "Olivia",
+    "11772": "Megan",
+    "4174": "Michelle"
+  }
+  
 <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
 
-# Parler-TTS Mini Multilingual
+# Parler-TTS Mini Multilingual v1.1
 
 <a target="_blank" href="https://huggingface.co/spaces/PHBJT/multi_parler_tts">
   <img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="Open in HuggingFace"/>
 </a>
 
-**Parler-TTS Mini Multilingual v1** is a multilingual extension of [Parler-TTS Mini](https://huggingface.co/parler-tts/parler-tts-mini-v1.1).
+**Parler-TTS Mini Multilingual v1.1** is a multilingual extension of [Parler-TTS Mini](https://huggingface.co/parler-tts/parler-tts-mini-v1.1).
 
 It is a fine-tuned version, trained on a [cleaned version](https://huggingface.co/datasets/PHBJT/cml-tts-filtered) of [CML-TTS](https://huggingface.co/datasets/ylacombe/cml-tts) and on the non-English version of [Multilingual LibriSpeech](https://huggingface.co/datasets/facebook/multilingual_librispeech).
 In all, this represents some 9,200 hours of non-English data. To retain English capabilities, we also added back the [LibriTTS-R English dataset](https://huggingface.co/datasets/parler-tts/libritts_r_filtered), some 580h of high-quality English data.