---
pretty_name: transformers issues & PRs — a funes memory
tags:
  - funes
  - github
  - transformers
size_categories:
  - 100K<n<1M
---

# huggingface/transformers issues and pull requests, as a funes memory

Every issue and pull request of [huggingface/transformers](https://github.com/huggingface/transformers)
with activity since 2018-01-01 — opening bodies, comments, reviews, inline review comments and PR
diffs — chunked, embedded and written to a [Lance](https://lancedb.github.io/lance/) table by
[funes](https://github.com/huggingface/funes), so the tracker can be searched by meaning and read
back thread by thread. Kept fresh every few minutes by the
[funes-github](https://huggingface.co/spaces/dacorvo/transformers-gh-index) Space.

## Use it

Set funes up for your agent the usual way, once — `funes add claude` or `funes add codex` — and keep
your own sessions as its default memory. Then tell the agent this memory exists, either way:

- **A skill**, loaded when the topic comes up:

  ```bash
  hf download dacorvo/transformers-gh-memory --repo-type dataset --include 'skills/*' --local-dir ~/.claude   # Claude Code
  hf download dacorvo/transformers-gh-memory --repo-type dataset --include 'skills/*' --local-dir ~/.codex    # Codex
  ```

- **A paragraph in `CLAUDE.md` or `AGENTS.md`**:

  > `dacorvo/transformers-gh-memory` is a funes memory of huggingface/transformers issues and PRs.
  > For questions about transformers issues, PRs, reviews or who said what, pass it as the `memory`
  > argument of the funes tools (`recall`, `get`, `sessions`). One session is one thread,
  > `gh/huggingface/transformers#<number>`.

Then ask in plain words:

- why are the experts sharded on the TP mesh for masked expert parallelism?
- what was decided about byte fallback when loading the SentencePiece backend tokenizer?
- read me the review of PR #48857

(funes itself: `curl -fsSL https://huggingface.co/buckets/huggingface/funes/resolve/install.sh | sh`)

## What is in a thread

One thread is one funes session, `gh/huggingface/transformers#<number>`. Its turns, in order:

| turn | text | role |
|---|---|---|
| opening | `**@login** opened issue/PR #n: title`, labels, body | the author's `author_association`, lowercased |
| comment | `**@login** wrote:` body | idem |
| review | `**@login** approved / requested changes / reviewed:` body | idem |
| inline review comment | `**@login** commented on \`path line n\`:` the last 8 lines of the hunk, body | idem |
| PR diff | `gh pr diff n` → the diff, capped at 200 KB | the PR author's |

`role` is GitHub's relationship to the project — `member`, `collaborator`, `contributor`,
`first_time_contributor`, `none` — or `bot` for automation (github-actions, the Copilot reviewer,
the docs builder). The login stays in the text, so "what did ArthurZucker say about …" works.
`harness` is `github`; the `repo` facet is `huggingface/transformers`.

## What to expect

- **Append-only.** funes never rewrites. An edited body is a new turn stamped with its edit time; the
  earlier text stays and recency ranks the newer one. Deleted comments stay. A lone comment edit does
  not move a thread's `updated_at`, so it lands at the thread's next activity.
- **Freshness.** A thread updated on GitHub is here within about five minutes of its next activity.
- **Diffs** are indexed in funes's deferred tier: recall over the discussion is unaffected; they
  answer "which PR touched this file".
- **Secrets.** Text is redacted at index time and a fail-closed scanner holds back anything that
  slips through before it is published.

## Provenance

Built by [`gh_to_funes.py`](https://huggingface.co/spaces/dacorvo/transformers-gh-index/blob/main/gh_to_funes.py)
from the GitHub REST and GraphQL APIs, into funes's
[turns-file format](https://github.com/huggingface/funes/blob/main/docs/funes-jsonl.md), then
`funes index` and `funes push`. Embeddings: `BAAI/bge-small-en-v1.5`. The texts are their authors'
words as published on GitHub, redistributed here for search; the diffs are code from
huggingface/transformers (Apache-2.0). Fork the Space to build the same memory for another project.

<!-- funes:stats -->
| | |
|---|---|
| Chunks | 1,289,848 |
| Embedding model | `BAAI/bge-small-en-v1.5` |
| Updated | 2026-10-21 |
<!-- /funes:stats -->