add links to isatasr repo to readme

README.md

@@ -4,11 +4,12 @@ language:
 library_name: transformers
 pipeline_tag: automatic-speech-recognition
 ---
-Model trained in 8-bit with LoRA
+Model trained in int8 with LoRA
 
 Usage:
 
 prepare pipeline, setting to default generate_opts will give you (deterministic) greedy decoding with up to 112 tokens generated, no repetition penalty:
+
 ```
 asr_model=prepare_pipeline(
         model_dir='.', # wherever you save the model
@@ -22,4 +23,10 @@ asr_model=prepare_pipeline(
 run ASR:
 ```
 asr_model(audio_path)
-```
+```
+
+See also:
+https://github.com/rosyvs/isatasr  
+Model is on Github at https://github.com/rosyvs/isatasr/tree/main/models/whisat-1.2  
+Training script: https://github.com/rosyvs/isatasr/blob/main/train/whisat/tune_hf_whisper.py  
+Training hyperparameters: https://github.com/rosyvs/isatasr/blob/main/train/whisat/hparams/redo_for_ICASSP/publicKS_ig_hf_LoRA_int8_largev2.yaml