updt README.md

README.md

@@ -108,7 +108,13 @@ model-index:
 
 # Fine-tuned wav2vec2-FR-7K-large model for ASR in French
 
-[![Model architecture](https://img.shields.io/badge/Model_Architecture-Wav2Vec2--CTC-lightgrey)](#model-architecture) | [![Model size](https://img.shields.io/badge/Params-315M-lightgrey)](#model-architecture) | [![Language](https://img.shields.io/badge/Language-French-lightgrey)](#datasets)
+<style>
+img {
+ display: inline;
+}
+</style>
+
+[![Model architecture](https://img.shields.io/badge/Model_Architecture-Wav2Vec2--CTC-lightgrey)](#model-architecture) [![Model size](https://img.shields.io/badge/Params-315M-lightgrey)](#model-architecture) [![Language](https://img.shields.io/badge/Language-French-lightgrey)](#datasets)
 
 This model is a fine-tuned version of [LeBenchmark/wav2vec2-FR-7K-large](https://huggingface.co/LeBenchmark/wav2vec2-FR-7K-large), trained on a composite dataset comprising of over 2200 hours of French speech audio, using the train and validation splits of [Common Voice 11.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0), [Multilingual LibriSpeech](https://huggingface.co/datasets/facebook/multilingual_librispeech), [Voxpopuli](https://github.com/facebookresearch/voxpopuli), [Multilingual TEDx](http://www.openslr.org/100), [MediaSpeech](https://www.openslr.org/108), and [African Accented French](https://huggingface.co/datasets/gigant/african_accented_french). When using the model make sure that your speech input is also sampled at 16Khz.