# Deep-unlearning/nano-cohere-transcribe SLOC report

> As of 2026-09-16 (commit f8e1cd94554a), Deep-unlearning/nano-cohere-transcribe contains 3,435 total lines: 2,687 code, 242 comments, 506 blank, across 25 files in 6 languages (top: Python 94.7%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Deep-unlearning/nano-cohere-transcribe has 2,687 source lines of code out of 3,435 total lines across 25 files, counted from the f8e1cd94554a812f35d56dbdc42c461c681da774 ref at commit f8e1cd94554a by the OctoCounts tokei engine on 2026-09-16. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

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.

## Repository size insights

This is a small codebase by counted code lines. Code represents 78.2% of all lines, comments represent 7.0%, and the repository averages 107 code lines per file. Python accounts for 94.7% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 19 | 3,083 | 2,545 | 120 | 418 |
| 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 94.7%). Generated at 2026-09-16T17:51:00.756979073+00:00. Canonical report: https://octocounts.com/github/Deep-unlearning/nano-cohere-transcribe

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Deep-unlearning/nano-cohere-transcribe/commit/f8e1cd94554a812f35d56dbdc42c461c681da774?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does Deep-unlearning/nano-cohere-transcribe have?

Deep-unlearning/nano-cohere-transcribe has 3,435 total lines, including 2,687 code lines, 242 comment lines, and 506 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 f8e1cd94554a812f35d56dbdc42c461c681da774 at commit f8e1cd94554a on 2026-09-16T17:51:00.756979073+00:00.

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