add links to linto

README.md

@@ -113,6 +113,8 @@ 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.
 
+You can try the model directly on [LinTO Studio](https://studio.linto.app/).
+
 ---
 
 ## Performance
@@ -175,6 +177,10 @@ asr_model.change_decoding_strategy(decoder_type="ctc")
 asr_model.transcribe([audio_path])
 ```
 
+It can also be used with the [LinTO STT API](https://github.com/linto-ai/linto-stt/blob/nemo_doc_improvements/nemo/README.md), 
+an Automatic Speech Recognition (ASR) API that can function either as a standalone transcription service 
+or be deployed within a microservices infrastructure using a message broker connector. It supports both offline and real-time transcription.
+
 ## Training Details
 
 The training code is available in the [nemo_asr_training repository](https://github.com/linagora-labs/nemo_asr_training).