Commit
•
3dccfad
1
Parent(s):
8f54680
Correct scripts
Browse files- README.md +5 -4
- run_spgispeech.sh +1 -1
README.md
CHANGED
@@ -2,17 +2,18 @@
|
|
2 |
language:
|
3 |
- en
|
4 |
tags:
|
5 |
-
-
|
6 |
datasets:
|
7 |
-
-
|
|
|
8 |
---
|
9 |
-
To reproduce this run, execute:
|
10 |
```python
|
11 |
#!/usr/bin/env bash
|
12 |
CUDA_VISIBLE_DEVICES=0 python run_speech_recognition_rnnt.py \
|
13 |
--config_path="conf/conformer_transducer_bpe_xlarge.yaml" \
|
14 |
--model_name_or_path="stt_en_conformer_transducer_xlarge" \
|
15 |
-
--dataset_name="
|
16 |
--tokenizer_path="tokenizer" \
|
17 |
--vocab_size="1024" \
|
18 |
--max_steps="100000" \
|
|
|
2 |
language:
|
3 |
- en
|
4 |
tags:
|
5 |
+
- esb
|
6 |
datasets:
|
7 |
+
- esb/datasets
|
8 |
+
- kensho/spgispeech
|
9 |
---
|
10 |
+
To reproduce this run, first install NVIDIA NeMo according to the [official instructions](https://github.com/NVIDIA/NeMo#installation), then execute:
|
11 |
```python
|
12 |
#!/usr/bin/env bash
|
13 |
CUDA_VISIBLE_DEVICES=0 python run_speech_recognition_rnnt.py \
|
14 |
--config_path="conf/conformer_transducer_bpe_xlarge.yaml" \
|
15 |
--model_name_or_path="stt_en_conformer_transducer_xlarge" \
|
16 |
+
--dataset_name="esb/datasets" \
|
17 |
--tokenizer_path="tokenizer" \
|
18 |
--vocab_size="1024" \
|
19 |
--max_steps="100000" \
|
run_spgispeech.sh
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
CUDA_VISIBLE_DEVICES=0 python run_speech_recognition_rnnt.py \
|
3 |
--config_path="conf/conformer_transducer_bpe_xlarge.yaml" \
|
4 |
--model_name_or_path="stt_en_conformer_transducer_xlarge" \
|
5 |
-
--dataset_name="
|
6 |
--tokenizer_path="tokenizer" \
|
7 |
--vocab_size="1024" \
|
8 |
--max_steps="100000" \
|
|
|
2 |
CUDA_VISIBLE_DEVICES=0 python run_speech_recognition_rnnt.py \
|
3 |
--config_path="conf/conformer_transducer_bpe_xlarge.yaml" \
|
4 |
--model_name_or_path="stt_en_conformer_transducer_xlarge" \
|
5 |
+
--dataset_name="esb/datasets" \
|
6 |
--tokenizer_path="tokenizer" \
|
7 |
--vocab_size="1024" \
|
8 |
--max_steps="100000" \
|