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README.md

@@ -24,13 +24,13 @@ It maps each input words into outputs concepts tags (76 available).
 
 This model is trained with [`flaubert-oral-mixed`](https://huggingface.co/nherve/flaubert-oral-mixed) as it's inital checkpoint.
 
-Available MEDIA NLU models:
-- [MEDIA_NLU-flaubert_base_cased](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_base_cased): model trained with [`flaubert_base_cased`](https://huggingface.co/flaubert/flaubert_base_cased) as it's inital checkpoint
-- [MEDIA_NLU-flaubert_base_uncased](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_base_uncased): model trained with [`flaubert_base_uncased`](https://huggingface.co/flaubert/flaubert_base_uncased) as it's inital checkpoint
-- [MEDIA_NLU-flaubert_oral_ft](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_ft): model trained with [`flaubert-oral-ft`](https://huggingface.co/nherve/flaubert-oral-ft) as it's inital checkpoint
-- [MEDIA_NLU-flaubert_oral_mixed](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_mixed): model trained with [`flaubert-oral-mixed`](https://huggingface.co/nherve/flaubert-oral-mixed) as it's inital checkpoint
-- [MEDIA_NLU-flaubert_oral_asr](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_asr): model trained with [`flaubert-oral-asr`](https://huggingface.co/nherve/flaubert-oral-asr) as it's inital checkpoint
-- [MEDIA_NLU-flaubert_oral_asr_nb](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_asr_nb): model trained with [`flaubert-oral-asr_nb`](https://huggingface.co/nherve/flaubert-oral-asr_nb) as it's inital checkpoint
+## Available MEDIA NLU models:
+- [`MEDIA_NLU-flaubert_base_cased`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_base_cased): MEDIA NLU model trained with [`flaubert_base_cased`](https://huggingface.co/flaubert/flaubert_base_cased) as it's inital checkpoint
+- [`MEDIA_NLU-flaubert_base_uncased`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_base_uncased): MEDIA NLU model trained with [`flaubert_base_uncased`](https://huggingface.co/flaubert/flaubert_base_uncased) as it's inital checkpoint
+- [`MEDIA_NLU-flaubert_oral_ft`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_ft): MEDIA NLU model trained with [`flaubert-oral-ft`](https://huggingface.co/nherve/flaubert-oral-ft) as it's inital checkpoint
+- [`MEDIA_NLU-flaubert_oral_mixed`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_mixed): MEDIA NLU model trained with [`flaubert-oral-mixed`](https://huggingface.co/nherve/flaubert-oral-mixed) as it's inital checkpoint
+- [`MEDIA_NLU-flaubert_oral_asr`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_asr): MEDIA NLU model trained with [`flaubert-oral-asr`](https://huggingface.co/nherve/flaubert-oral-asr) as it's inital checkpoint
+- [`MEDIA_NLU-flaubert_oral_asr_nb`](https://huggingface.co/vpelloin/MEDIA_NLU-flaubert_oral_asr_nb): MEDIA NLU model trained with [`flaubert-oral-asr_nb`](https://huggingface.co/nherve/flaubert-oral-asr_nb) as it's inital checkpoint
 
 ## Usage with Pipeline
 ```python