Datasets:
Download run_log.txt from anuj-inavlabs/kupe-tts: direct link, hf CLI and curl.
- Browser
- Download file 980 Bytes
-
https://huggingface.co/datasets/anuj-inavlabs/kupe-tts/resolve/main/run_log.txt
- Command line
-
hf download hf://datasets/anuj-inavlabs/kupe-tts/run_log.txt
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curl -L -o run_log.txt https://huggingface.co/datasets/anuj-inavlabs/kupe-tts/resolve/main/run_log.txt
980 Bytes
| [info] device = cpu | |
| [info] loading ARTPARK-IISc/DhVaani-0.5 (AutoModel, trust_remote_code=True) ... | |
| Fetching 29 files: 0%| | 0/29 [00:00<?, ?it/s] Fetching 29 files: 100%|██████████| 29/29 [00:00<00:00, 2967.35it/s] | |
| WARNING:root:Failed import k2 with error No module named 'k2'. Swoosh functions will fallback to PyTorch implementation, leading to slower speed and higher memory consumption. | |
| [info] model loaded in 11.68s | |
| [run] 'malayalam_greeting': 'നമസ്\u200cകാരം, സുഖമാണോ?' | |
| [result] gen_time=43.043s audio_len=3.328s RTF=12.934 (RTF<1 means faster than real-time) | |
| [run] 'malayalam_longer': 'ഇന്ന് കാലാവസ്ഥ വളരെ നല്ലതാണ്. നമുക്ക് പുറത്തു പോകാം.' | |
| [result] gen_time=69.043s audio_len=9.120s RTF=7.571 (RTF<1 means faster than real-time) | |
| [done] summary written to /Users/pengu/Documents/kupe/kupe-tts/outputs/latency.json | |