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.
OctoCounts produced this report by resolving Deep-unlearning/nano-cohere-transcribe to commit f8e1cd94554a, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
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 .
Deep-unlearning/nano-cohere-transcribe has 4,041 total lines, including 3,149 code lines, 263 comment lines, and 629 blank lines.
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.
This OctoCounts report was generated from main at commit f8e1cd94554a on 2026-05-10T16:51:53.558519173+00:00.
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