Upload run_wavlm_smollm_yuyue.sh with huggingface_hub

run_wavlm_smollm_yuyue.sh

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+#!/usr/bin/env bash
+# Set bash to 'debug' mode, it will exit on :
+# -e 'error', -u 'undefined variable', -o ... 'error in pipeline', -x 'print commands',
+set -e
+set -u
+set -o pipefail
+
+# start command: 
+# bash run_wavlm_smollm.sh --stage 8 --stop_stage 8 --ngpu 8 --tag tts_smollm_whole_rinit --train_args "--codec_token_per_frame 8 --codec_token_in_use 8 --loss_region whole"
+
+train_jsons=""
+valid_jsons=""
+test_jsons=""
+
+# TTS
+train_jsons+="dump_wavlm/raw_tts_librispeech/train_960/data.json dump_wavlm/raw_tts_mls_en/mls_en_train/data.json"
+valid_jsons+="dump_wavlm/raw_tts_librispeech/dev/data.json "
+
+# Test sets
+test_jsons+="dump_wavlm/raw_codec_ssl_asr_librispeech/test_clean/data.json "
+test_jsons+="dump_wavlm/raw_codec_ssl_tts_librispeech/test_clean/data.json "
+
+train_config=conf/train_multiscale_smollm_360m.yaml
+inference_config=conf/decode_asr.yaml
+
+token_list_dir=data/token_list/llm_vocab # use lllm vocab
+bpe_opts="--subword_choice huggingface --subword_model HuggingFaceTB/SmolLM-1.7B"
+codec_opts="--codec_choice inhouse"
+
+./speechlm.sh \
+    --skip_data_prep true \
+    --data_combo_name ls960_mlsen \
+    --fs 16000 \
+    --ngpu 4 \
+    --nj 16 \
+    --inference_nj 16 \
+    --nbest 10 \
+    --gpu_inference true \
+    --g2p g2p_en_no_space \
+    --cleaner tacotron \
+    --token_list_dir ${token_list_dir} \
+    --train_config ${train_config} \
+    --inference_config ${inference_config} \
+    --audio_format "flac.ark" \
+    --train_jsons "${train_jsons}" \
+    --valid_jsons "${valid_jsons}" \
+    --test_jsons "${test_jsons}" \
+    --dumpdir dump_wavlm \
+    ${bpe_opts} ${codec_opts} \
+    "$@"