使用seq-seq模型

encoder_id = "wbbbbb/wav2vec2-large-chinese-zh-cn"

decoder_id = "IDEA-CCNL/Randeng-BART-139M

wer=68.3
{"license": "apache-2.0"}
transformers pytorch speech-encoder-decoder automatic-speech-recognition license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #speech-encoder-decoder #automatic-speech-recognition #license-apache-2.0 #endpoints_compatible #region-us 

使用seq-seq模型

encoder_id = "wbbbbb/wav2vec2-large-chinese-zh-cn"

decoder_id = "IDEA-CCNL/Randeng-BART-139M

wer=68.3
TAGS
#transformers #pytorch #speech-encoder-decoder #automatic-speech-recognition #license-apache-2.0 #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #speech-encoder-decoder #automatic-speech-recognition #license-apache-2.0 #endpoints_compatible #region-us 
