Update readme_template.md

readme_template.md

@@ -1,23 +1,23 @@
 ---
 language:
 - en
-license: cc-by-nc-nd-4.0
+license: cc-by-4.0
 library_name: nemo
 datasets:
-- commonvoice
+- fisher_corpus
+- Switchboard-1
 thumbnail: null
 tags:
 - automatic-speech-recognition
 - speech
 - audio
 - CTC
-- named-entity-recognition
-- emotion-classification
+- Conformer
 - Transformer
 - NeMo
 - pytorch
 model-index:
-- name: 1step_ctc_ner_emotion_commonvoice500hrs
+- name: stt_en_conformer_ctc_digits
   results: []
 
 ---
@@ -42,7 +42,7 @@ The model is available for use in the NeMo toolkit [3], and can be used as a pre
 
 ```python
 import nemo.collections.asr as nemo_asr
-asr_model = nemo_asr.models.ASRModel.from_pretrained("ksingla025/1step_ctc_ner_emotion_commonvoice500hrs")
+asr_model = nemo_asr.models.ASRModel.from_pretrained("ksingla025/stt_en_conformer_ctc_digits")
 ```
 
 ### Transcribe and tag using Python
@@ -59,7 +59,7 @@ asr_model.transcribe(['audio/digits1.wav'])
 ### Transcribing many audio files
 
 ```shell
-python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py  pretrained_name="ksingla025/1step_ctc_ner_emotion_commonvoice500hrs"  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
+python [NEMO_GIT_FOLDER]/examples/asr/transcribe_speech.py  pretrained_name="ksingla025/stt_en_conformer_ctc_digits"  audio_dir="<DIRECTORY CONTAINING AUDIO FILES>"
 ```
 
 ### Input