Update README.md

README.md

@@ -106,12 +106,15 @@ img {
 
 ## Overview
 
-This model is a fine-tuned version of the [NVIDIA French FastConformer Hybrid Large model](https://huggingface.co/nvidia/stt_fr_fastconformer_hybrid_large_pc). It is a large (115M parameters) hybrid ASR model trained with both **Transducer (default)** and **CTC** losses.
+This model is a fine-tuned version of the [NVIDIA French FastConformer Hybrid Large model](https://huggingface.co/nvidia/stt_fr_fastconformer_hybrid_large_pc). 
+It is a large (115M parameters) hybrid ASR model trained with both **Transducer (default)** and **CTC** losses.
 
 Compared to the base model, this version:
 - Does **not** include punctuation or uppercase letters.
 - Was trained on **9,500+ hours** of diverse, manually transcribed French speech.
 
+The training code is available in the [nemo asr training repository](https://github.com/linagora-labs/nemo_asr_training).
+
 ---
 
 ## Performance
@@ -173,6 +176,8 @@ asr_model.transcribe([audio_path])
 
 ## Datasets
 
+The data were transformed, processed and converted using [NeMo tools from the SSAK repository](https://github.com/linagora-labs/ssak/tree/main/tools/nemo)
+
 The model was trained on over 9,500 hours of French speech, covering:
 - Read and spontaneous speech
 - Conversations and meetings