{"id":34620,"date":"2025-08-01T12:25:35","date_gmt":"2025-08-01T04:25:35","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34620"},"modified":"2025-08-01T12:25:35","modified_gmt":"2025-08-01T04:25:35","slug":"opuslm_7b_anneal","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/opuslm_7b_anneal\/","title":{"rendered":"OpusLM_7B_Anneal\uff1a\u9ad8\u6548\u7684\u8bed\u97f3\u8bc6\u522b\u4e0e\u5408\u6210\u7edf\u4e00\u6a21\u578b"},"content":{"rendered":"<p>OpusLM_7B_Anneal \u662f\u7531 ESPnet \u56e2\u961f\u5f00\u53d1\u5e76\u5728 Hugging Face \u5e73\u53f0\u6258\u7ba1\u7684\u5f00\u6e90\u8bed\u97f3\u5904\u7406\u6a21\u578b\u3002\u5b83\u4e13\u6ce8\u4e8e\u8bed\u97f3\u8bc6\u522b\u3001\u6587\u672c\u8f6c\u8bed\u97f3\u3001\u8bed\u97f3\u7ffb\u8bd1\u548c\u8bed\u97f3\u589e\u5f3a\u7b49\u591a\u79cd\u4efb\u52a1\uff0c\u9002\u5408\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u5728\u8bed\u97f3\u5904\u7406\u9886\u57df\u8fdb\u884c\u5b9e\u9a8c\u548c\u5e94\u7528\u3002\u6a21\u578b\u57fa\u4e8e PyTorch \u6846\u67b6\uff0c\u7ed3\u5408 Kaldi \u98ce\u683c\u7684\u6570\u636e\u5904\u7406\uff0c\u63d0\u4f9b\u9ad8\u6548\u7684\u7aef\u5230\u7aef\u8bed\u97f3\u5904\u7406\u89e3\u51b3\u65b9\u6848\u3002OpusLM_7B_Anneal \u662f ESPnet \u751f\u6001\u7684\u4e00\u90e8\u5206\uff0c\u652f\u6301\u591a\u8bed\u8a00\u548c\u591a\u6837\u5316\u8bed\u97f3\u4efb\u52a1\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5b66\u672f\u7814\u7a76\u548c\u5b9e\u9645\u5f00\u53d1\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-34621\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1a1410c7e667c52.jpg\" alt=\"\" width=\"1104\" height=\"392\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1a1410c7e667c52.jpg 1104w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1a1410c7e667c52-18x6.jpg 18w\" sizes=\"auto, (max-width: 1104px) 100vw, 1104px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8bed\u97f3\u8bc6\u522b<\/strong>\uff1a\u5c06\u97f3\u9891\u8f93\u5165\u8f6c\u6362\u4e3a\u6587\u5b57\uff0c\u652f\u6301\u591a\u8bed\u8a00\u8bed\u97f3\u8bc6\u522b\u3002<\/li>\n<li><strong>\u6587\u672c\u8f6c\u8bed\u97f3<\/strong>\uff1a\u5c06\u6587\u672c\u8f93\u5165\u751f\u6210\u81ea\u7136\u6d41\u7545\u7684\u8bed\u97f3\u8f93\u51fa\u3002<\/li>\n<li><strong>\u8bed\u97f3\u7ffb\u8bd1<\/strong>\uff1a\u5b9e\u73b0\u4ece\u4e00\u79cd\u8bed\u8a00\u7684\u8bed\u97f3\u5230\u53e6\u4e00\u79cd\u8bed\u8a00\u7684\u6587\u5b57\u6216\u8bed\u97f3\u8f6c\u6362\u3002<\/li>\n<li><strong>\u8bed\u97f3\u589e\u5f3a<\/strong>\uff1a\u4f18\u5316\u97f3\u9891\u8d28\u91cf\uff0c\u51cf\u5c11\u80cc\u666f\u566a\u97f3\uff0c\u63d0\u5347\u8bed\u97f3\u6e05\u6670\u5ea6\u3002<\/li>\n<li><strong>\u6a21\u578b\u5fae\u8c03<\/strong>\uff1a\u652f\u6301\u7528\u6237\u6839\u636e\u7279\u5b9a\u4efb\u52a1\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002<\/li>\n<li><strong>\u5f00\u6e90\u652f\u6301<\/strong>\uff1a\u63d0\u4f9b\u5b8c\u6574\u7684\u6a21\u578b\u6743\u91cd\u548c\u914d\u7f6e\u6587\u4ef6\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u96c6\u6210\u548c\u4e8c\u6b21\u5f00\u53d1\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 OpusLM_7B_Anneal \u6a21\u578b\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5 ESPnet \u5de5\u5177\u5305\u548c\u76f8\u5173\u4f9d\u8d56\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u73af\u5883\u51c6\u5907<\/strong><br \/>\n\u786e\u4fdd\u4f60\u7684\u7cfb\u7edf\u5b89\u88c5\u4e86 Python 3.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u5e76\u63a8\u8350\u4f7f\u7528\u865a\u62df\u73af\u5883\u4ee5\u907f\u514d\u4f9d\u8d56\u51b2\u7a81\uff1a<\/p>\n<pre><code>python -m venv espnet_env\r\nsource espnet_env\/bin\/activate  # Linux\/Mac\r\nespnet_env\\Scripts\\activate     # Windows\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5 ESPnet<\/strong><br \/>\n\u4f7f\u7528 pip \u5b89\u88c5 ESPnet\uff1a<\/p>\n<pre><code>pip install espnet\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u989d\u5916\u4f9d\u8d56<\/strong><br \/>\nOpusLM_7B_Anneal \u4f9d\u8d56 PyTorch \u548c soundfile \u5e93\uff0c\u786e\u4fdd\u5b89\u88c5\u6b63\u786e\u7248\u672c\uff1a<\/p>\n<pre><code>pip install torch torchaudio soundfile\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b<\/strong><br \/>\n\u4ece Hugging Face \u5e73\u53f0\u4e0b\u8f7d OpusLM_7B_Anneal \u6a21\u578b\u6587\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528\u00a0<code>huggingface-cli<\/code>\u00a0\u5de5\u5177\uff1a<\/p>\n<pre><code>huggingface-cli download espnet\/OpusLM_7B_Anneal --local-dir .\/OpusLM_7B_Anneal\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u5c06\u6a21\u578b\u6743\u91cd\uff08<code>model.pth<\/code>\uff09\u3001\u914d\u7f6e\u6587\u4ef6\uff08<code>config.yaml<\/code>\uff09\u548c\u89e3\u7801\u914d\u7f6e\u6587\u4ef6\uff08<code>decode_default.yaml<\/code>\uff09\u4e0b\u8f7d\u5230\u6307\u5b9a\u76ee\u5f55\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u9a8c\u8bc1\u73af\u5883\u662f\u5426\u6b63\u786e\uff1a<\/p>\n<pre><code>from espnet2.bin.tts_inference import Text2Speech\r\ntext2speech = Text2Speech.from_pretrained(\"espnet\/OpusLM_7B_Anneal\")\r\nprint(\"Model loaded successfully!\")\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>OpusLM_7B_Anneal \u652f\u6301\u591a\u79cd\u8bed\u97f3\u5904\u7406\u4efb\u52a1\uff0c\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u6587\u672c\u8f6c\u8bed\u97f3<\/h4>\n<p>\u6587\u672c\u8f6c\u8bed\u97f3\u529f\u80fd\u53ef\u4ee5\u5c06\u8f93\u5165\u7684\u6587\u672c\u8f6c\u6362\u4e3a\u81ea\u7136\u8bed\u97f3\u3002\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li><strong>\u52a0\u8f7d\u6a21\u578b<\/strong>\uff1a\u4f7f\u7528 ESPnet \u7684\u00a0<code>Text2Speech<\/code>\u00a0\u7c7b\u52a0\u8f7d\u6a21\u578b\uff1a\n<pre><code>from espnet2.bin.tts_inference import Text2Speech\r\nimport soundfile\r\ntext2speech = Text2Speech.from_pretrained(\"espnet\/OpusLM_7B_Anneal\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u751f\u6210\u8bed\u97f3<\/strong>\uff1a\u8f93\u5165\u6587\u672c\uff0c\u751f\u6210\u5bf9\u5e94\u7684\u8bed\u97f3\u6ce2\u5f62\uff1a\n<pre><code>speech = text2speech(\"\u4f60\u597d\uff0c\u8fd9\u662f\u4e00\u4e2a\u6d4b\u8bd5\u6587\u672c\u3002\")[\"wav\"]\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4fdd\u5b58\u97f3\u9891<\/strong>\uff1a\u5c06\u751f\u6210\u7684\u8bed\u97f3\u4fdd\u5b58\u4e3a WAV \u6587\u4ef6\uff1a\n<pre><code>soundfile.write(\"output.wav\", speech.numpy(), text2speech.fs, \"PCM_16\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\u786e\u4fdd\u8f93\u5165\u6587\u672c\u4e0e\u6a21\u578b\u652f\u6301\u7684\u8bed\u8a00\u4e00\u81f4\uff08\u5982\u4e2d\u6587\u3001\u82f1\u6587\u7b49\uff09\u3002\u53ef\u4ee5\u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u8c03\u6574\u8bed\u97f3\u8bed\u8c03\u6216\u901f\u5ea6\u3002<\/li>\n<\/ul>\n<h4>2. \u8bed\u97f3\u8bc6\u522b<\/h4>\n<p>\u8bed\u97f3\u8bc6\u522b\u529f\u80fd\u5c06\u97f3\u9891\u6587\u4ef6\u8f6c\u6362\u4e3a\u6587\u5b57\u3002\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li><strong>\u51c6\u5907\u97f3\u9891<\/strong>\uff1a\u786e\u4fdd\u97f3\u9891\u6587\u4ef6\u683c\u5f0f\u4e3a WAV\uff0c\u91c7\u6837\u7387\u4e3a 16kHz \u6216\u4e0e\u6a21\u578b\u517c\u5bb9\u3002<\/li>\n<li><strong>\u52a0\u8f7d\u6a21\u578b<\/strong>\uff1a\u4f7f\u7528 ESPnet \u7684\u00a0<code>Speech2Text<\/code>\u00a0\u7c7b\uff1a\n<pre><code>from espnet2.bin.asr_inference import Speech2Text\r\nspeech2text = Speech2Text.from_pretrained(\"espnet\/OpusLM_7B_Anneal\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6267\u884c\u8bc6\u522b<\/strong>\uff1a\u8f93\u5165\u97f3\u9891\u6587\u4ef6\u8def\u5f84\uff0c\u83b7\u53d6\u8bc6\u522b\u7ed3\u679c\uff1a\n<pre><code>text, *_ = speech2text(\"input.wav\")[0]\r\nprint(\"\u8bc6\u522b\u7ed3\u679c:\", text)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4f18\u5316\u6280\u5de7<\/strong>\uff1a\u82e5\u97f3\u9891\u8d28\u91cf\u8f83\u5dee\uff0c\u53ef\u5148\u4f7f\u7528\u8bed\u97f3\u589e\u5f3a\u529f\u80fd\u5904\u7406\u97f3\u9891\u3002<\/li>\n<\/ul>\n<h4>3. \u8bed\u97f3\u7ffb\u8bd1<\/h4>\n<p>\u8bed\u97f3\u7ffb\u8bd1\u529f\u80fd\u652f\u6301\u5c06\u4e00\u79cd\u8bed\u8a00\u7684\u8bed\u97f3\u8f6c\u6362\u4e3a\u53e6\u4e00\u79cd\u8bed\u8a00\u7684\u6587\u5b57\u6216\u8bed\u97f3\u3002\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li><strong>\u52a0\u8f7d\u7ffb\u8bd1\u6a21\u578b<\/strong>\uff1a\n<pre><code>from espnet2.bin.st_inference import Speech2Text\r\nspeech2text = Speech2Text.from_pretrained(\"espnet\/OpusLM_7B_Anneal\", task=\"st\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6267\u884c\u7ffb\u8bd1<\/strong>\uff1a\u8f93\u5165\u97f3\u9891\u6587\u4ef6\uff0c\u6307\u5b9a\u76ee\u6807\u8bed\u8a00\uff08\u5982\u82f1\u6587\uff09\uff1a\n<pre><code>text, *_ = speech2text(\"input_chinese.wav\", tgt_lang=\"en\")[0]\r\nprint(\"\u7ffb\u8bd1\u7ed3\u679c:\", text)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u751f\u6210\u8bed\u97f3<\/strong>\uff1a\u5982\u9700\u5c06\u7ffb\u8bd1\u7ed3\u679c\u8f6c\u4e3a\u8bed\u97f3\uff0c\u53ef\u7ed3\u5408\u6587\u672c\u8f6c\u8bed\u97f3\u529f\u80fd\uff1a\n<pre><code>text2speech = Text2Speech.from_pretrained(\"espnet\/OpusLM_7B_Anneal\")\r\nspeech = text2speech(text)[\"wav\"]\r\nsoundfile.write(\"translated_output.wav\", speech.numpy(), text2speech.fs, \"PCM_16\")\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>4. \u8bed\u97f3\u589e\u5f3a<\/h4>\n<p>\u8bed\u97f3\u589e\u5f3a\u529f\u80fd\u53ef\u63d0\u5347\u97f3\u9891\u8d28\u91cf\uff0c\u9002\u5408\u5904\u7406\u542b\u566a\u97f3\u7684\u5f55\u97f3\u3002\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ul>\n<li><strong>\u52a0\u8f7d\u6a21\u578b<\/strong>\uff1a\n<pre><code>from espnet2.bin.enh_inference import SpeechEnhancement\r\nspeech_enh = SpeechEnhancement.from_pretrained(\"espnet\/OpusLM_7B_Anneal\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5904\u7406\u97f3\u9891<\/strong>\uff1a\u8f93\u5165\u542b\u566a\u97f3\u9891\uff0c\u8f93\u51fa\u589e\u5f3a\u540e\u7684\u97f3\u9891\uff1a\n<pre><code>enhanced_speech = speech_enh(\"noisy_input.wav\")[\"wav\"]\r\nsoundfile.write(\"enhanced_output.wav\", enhanced_speech.numpy(), speech_enh.fs, \"PCM_16\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6ce8\u610f\u4e8b\u9879<\/strong>\uff1a\u786e\u4fdd\u97f3\u9891\u683c\u5f0f\u4e0e\u6a21\u578b\u8981\u6c42\u4e00\u81f4\uff0c\u907f\u514d\u8fc7\u957f\u97f3\u9891\u5bfc\u81f4\u5185\u5b58\u6ea2\u51fa\u3002<\/li>\n<\/ul>\n<h4>5. \u6a21\u578b\u5fae\u8c03<\/h4>\n<p>\u82e5\u9700\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\uff08\u5982\u7279\u5b9a\u8bed\u8a00\u6216\u573a\u666f\uff09\u4f18\u5316\u6a21\u578b\uff0c\u53ef\u4f7f\u7528 ESPnet \u63d0\u4f9b\u7684\u5fae\u8c03\u5de5\u5177\uff1a<\/p>\n<ul>\n<li><strong>\u51c6\u5907\u6570\u636e\u96c6<\/strong>\uff1a\u51c6\u5907\u6807\u6ce8\u597d\u7684\u8bed\u97f3\u548c\u6587\u672c\u6570\u636e\uff0c\u683c\u5f0f\u9075\u5faa Kaldi \u98ce\u683c\u3002<\/li>\n<li><strong>\u914d\u7f6e\u5fae\u8c03<\/strong>\uff1a\u4fee\u6539\u00a0<code>config.yaml<\/code>\u00a0\u6587\u4ef6\uff0c\u8bbe\u7f6e\u8bad\u7ec3\u53c2\u6570\u3002<\/li>\n<li><strong>\u8fd0\u884c\u5fae\u8c03<\/strong>\uff1a\n<pre><code>espnet2\/bin\/train.py --config config.yaml --model_file model.pth\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4fdd\u5b58\u6a21\u578b<\/strong>\uff1a\u5fae\u8c03\u5b8c\u6210\u540e\uff0c\u4f7f\u7528\u00a0<code>run.sh<\/code>\u00a0\u811a\u672c\u4e0a\u4f20\u81f3 Hugging Face\uff1a\n<pre><code>.\/run.sh --stage 13 --model_dir .\/exp\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h3>\u5176\u4ed6\u4f7f\u7528\u63d0\u793a<\/h3>\n<ul>\n<li><strong>\u6a21\u578b\u6587\u4ef6\u8bf4\u660e<\/strong>\uff1a\u6a21\u578b\u6587\u4ef6\u5305\u62ec\u00a0<code>model.pth<\/code>\uff08\u6743\u91cd\u6587\u4ef6\uff0c\u7ea6 3.77 GB\uff09\u3001<code>config.yaml<\/code>\uff08\u6a21\u578b\u914d\u7f6e\uff09\u3001<code>decode_default.yaml<\/code>\uff08\u89e3\u7801\u914d\u7f6e\uff09\u3002\u786e\u4fdd\u4e0b\u8f7d\u5b8c\u6574\u6587\u4ef6\u3002<\/li>\n<li><strong>\u8ba1\u7b97\u8d44\u6e90<\/strong>\uff1a\u5efa\u8bae\u4f7f\u7528 GPU \u52a0\u901f\u63a8\u7406\uff0c\u63a8\u8350\u81f3\u5c11 16GB \u663e\u5b58\u4ee5\u786e\u4fdd\u6d41\u7545\u8fd0\u884c\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1a\u53ef\u53c2\u8003 ESPnet \u5b98\u65b9\u6587\u6863\uff08<code>https:\/\/espnet.github.io\/espnet\/<\/code>\uff09\u6216 Hugging Face \u793e\u533a\u8ba8\u8bba\u83b7\u53d6\u6280\u672f\u652f\u6301\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u53ef\u4f7f\u7528 OpusLM_7B_Anneal \u8fdb\u884c\u8bed\u97f3\u5904\u7406\u5b9e\u9a8c\uff0c\u5982\u5f00\u53d1\u65b0\u578b\u8bed\u97f3\u8bc6\u522b\u7b97\u6cd5\u6216\u6d4b\u8bd5\u591a\u8bed\u8a00\u7ffb\u8bd1\u6a21\u578b\u3002\u6a21\u578b\u5f00\u6e90\u7279\u6027\u4fbf\u4e8e\u4e8c\u6b21\u5f00\u53d1\u548c\u9a8c\u8bc1\u3002<\/li>\n<li><strong>\u667a\u80fd\u5ba2\u670d<\/strong><br \/>\n\u4f01\u4e1a\u53ef\u5c06\u6a21\u578b\u96c6\u6210\u5230\u5ba2\u670d\u7cfb\u7edf\u4e2d\uff0c\u901a\u8fc7\u8bed\u97f3\u8bc6\u522b\u548c\u6587\u672c\u8f6c\u8bed\u97f3\u529f\u80fd\u5b9e\u73b0\u81ea\u52a8\u5e94\u7b54\u548c\u591a\u8bed\u8a00\u652f\u6301\uff0c\u63d0\u5347\u5ba2\u6237\u670d\u52a1\u6548\u7387\u3002<\/li>\n<li><strong>\u6559\u80b2\u8f85\u52a9<\/strong><br \/>\n\u6559\u80b2\u673a\u6784\u53ef\u5229\u7528\u8bed\u97f3\u7ffb\u8bd1\u548c\u6587\u672c\u8f6c\u8bed\u97f3\u529f\u80fd\uff0c\u5f00\u53d1\u8bed\u8a00\u5b66\u4e60\u5de5\u5177\uff0c\u5e2e\u52a9\u5b66\u751f\u7ec3\u4e60\u53d1\u97f3\u6216\u7ffb\u8bd1\u5916\u8bed\u5185\u5bb9\u3002<\/li>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\n\u5185\u5bb9\u521b\u4f5c\u8005\u53ef\u4f7f\u7528\u6587\u672c\u8f6c\u8bed\u97f3\u529f\u80fd\u4e3a\u89c6\u9891\u6216\u64ad\u5ba2\u751f\u6210\u65c1\u767d\uff0c\u652f\u6301\u591a\u79cd\u8bed\u8a00\u548c\u98ce\u683c\uff0c\u964d\u4f4e\u5236\u4f5c\u6210\u672c\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>OpusLM_7B_Anneal \u652f\u6301\u54ea\u4e9b\u8bed\u8a00\uff1f<\/strong><br \/>\n\u6a21\u578b\u652f\u6301\u591a\u79cd\u8bed\u8a00\uff0c\u5305\u62ec\u4e2d\u6587\u3001\u82f1\u6587\u3001\u65e5\u6587\u7b49\u3002\u5177\u4f53\u652f\u6301\u8bed\u8a00\u9700\u53c2\u8003\u00a0<code>config.yaml<\/code>\u00a0\u6587\u4ef6\u6216 ESPnet \u6587\u6863\u3002<\/li>\n<li><strong>\u5982\u4f55\u5904\u7406\u5927\u6587\u4ef6\u97f3\u9891\uff1f<\/strong><br \/>\n\u5bf9\u4e8e\u957f\u97f3\u9891\uff0c\u5efa\u8bae\u5206\u5272\u4e3a\u77ed\u7247\u6bb5\uff08\u6bcf\u6bb5 10-30 \u79d2\uff09\uff0c\u5206\u522b\u5904\u7406\u4ee5\u907f\u514d\u5185\u5b58\u6ea2\u51fa\u3002\u53ef\u4ee5\u4f7f\u7528\u97f3\u9891\u7f16\u8f91\u5de5\u5177\u5982 Audacity \u8fdb\u884c\u5206\u5272\u3002<\/li>\n<li><strong>\u6a21\u578b\u662f\u5426\u652f\u6301\u5b9e\u65f6\u5904\u7406\uff1f<\/strong><br \/>\n\u5f53\u524d\u6a21\u578b\u4e3b\u8981\u7528\u4e8e\u79bb\u7ebf\u5904\u7406\uff0c\u5b9e\u65f6\u5e94\u7528\u9700\u4f18\u5316\u63a8\u7406\u901f\u5ea6\uff0c\u5efa\u8bae\u4f7f\u7528\u9ad8\u6027\u80fd GPU \u5e76\u8c03\u6574\u6279\u5904\u7406\u5927\u5c0f\u3002<\/li>\n<li><strong>\u5982\u4f55\u89e3\u51b3\u6a21\u578b\u52a0\u8f7d\u5931\u8d25\uff1f<\/strong><br \/>\n\u68c0\u67e5 PyTorch \u548c ESPnet \u7248\u672c\u662f\u5426\u517c\u5bb9\uff0c\u786e\u4fdd\u6a21\u578b\u6587\u4ef6\u5b8c\u6574\u3002\u53c2\u8003 Hugging Face \u793e\u533a\u6216 ESPnet GitHub \u5bfb\u6c42\u5e2e\u52a9\u3002<\/li>\n<\/ol>\n<h2>\u4e00\u53e5\u8bdd\u63cf\u8ff0\uff08\u7b80\u4ecb\uff09<\/h2>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpusLM_7B_Anneal \u662f\u7531 ESPnet \u56e2\u961f\u5f00\u53d1\u5e76\u5728 Hugging Face \u5e73\u53f0\u6258\u7ba1\u7684\u5f00\u6e90\u8bed\u97f3\u5904\u7406\u6a21\u578b\u3002\u5b83\u4e13\u6ce8\u4e8e\u8bed\u97f3\u8bc6\u522b\u3001\u6587\u672c\u8f6c\u8bed\u97f3\u3001\u8bed\u97f3\u7ffb\u8bd1\u548c\u8bed\u97f3\u589e\u5f3a\u7b49\u591a\u79cd\u4efb\u52a1\uff0c\u9002\u5408\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u5728\u8bed\u97f3\u5904\u7406\u9886\u57df\u8fdb\u884c\u5b9e\u9a8c\u548c\u5e94\u7528\u3002\u6a21\u578b\u57fa\u4e8e&#8230;<\/p>\n","protected":false},"author":1,"featured_media":31260,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,392,400],"tags":[230,215,216],"class_list":["post-34620","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-models","category-speech-model","tag-aikaiyuanxiangmu","tag-aiwenbenzhuanyuyin","tag-aiyuyinzhuanwenben"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/34620","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=34620"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/34620\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/31260"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=34620"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=34620"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=34620"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}