Deep-unlearning/nano-cohere-transcribe SLOC report
As of 2026-05-10 (commit f8e1cd94554a), Deep-unlearning/nano-cohere-transcribe contains 4,041 total lines: 3,149 code, 263 comments, 629 blank, across 33 files in 6 languages (top: Python 95.5%). Counted with tokei via OctoCounts.
Repository size insights
This is a small codebase by counted code lines. Code represents 77.9% of all lines, comments represent 6.5%, and the repository averages 95 code lines per file. Python accounts for 95.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|
| Python | 27 | 3689 | 3007 | 141 | 541 |
| Shell | 1 | 100 | 75 | 4 | 21 |
| TOML | 1 | 62 | 56 | 0 | 6 |
| YAML | 1 | 11 | 11 | 0 | 0 |
| Markdown | 2 | 176 | 0 | 115 | 61 |
| Plain Text | 1 | 3 | 0 | 3 | 0 |
Top language (Python 95.5%). Generated at 2026-05-10T16:51:53.558519173+00:00.
Report FAQ
How many lines of code does Deep-unlearning/nano-cohere-transcribe have?
Deep-unlearning/nano-cohere-transcribe has 4,041 total lines, including 3,149 code lines, 263 comment lines, and 629 blank lines.
How was the Deep-unlearning/nano-cohere-transcribe line count measured?
OctoCounts resolved the public GitHub repository to commit f8e1cd94554a, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for Deep-unlearning/nano-cohere-transcribe?
This OctoCounts report was generated from main at commit f8e1cd94554a on 2026-05-10T16:51:53.558519173+00:00.