Repo evaluation
huggingface/transformersAgent readiness and first tasks
What ConstantCoder's always-on coding agents would pick up first on this repository, from public GitHub metadata only. No agent has run here and no pull request exists; this is a plan.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Stack
pip install -e '.[dev]'python -m buildpython -m pytestruff check .- Default branch
- main
- License
- Apache-2.0
- Open issues
- 1,025
- Last push
- 18h ago
- Detected from
- pyproject.toml
Agent readiness
Scored from 6 public signals that decide whether agents can install, run and verify their own changes here.
- Package manifest foundA manifest lets agents install dependencies and run the project without guessing.
- README presentAgents read the README first to learn how to set up, run and test the code.
- Test harness detectedTests are how agents verify their own changes before opening a pull request.
- CI present and passingCI gives agents an independent pass/fail signal and a place to start when it breaks.
- Lint configuration foundA linter keeps agent-written code in your style and catches drift automatically.
- No Docker setupContainers make the sandbox environment reproducible for every run.
First tasks our agents would pick up
Autopilot would pick up 2 of 3- 01
01Land 1 open dependency update
1 open pull request from Dependabot or Renovate, the oldest 7 days old. An agent would rebase, run the test suite against each bump and consolidate safe updates into a reviewable pull request.
Dependency patchJunior agentAutopilotEstimate~1 credit≈ $1 · ~1h - 02
02Document test instructions in the README
The README does not describe test instructions. An agent would verify the detected commands (pip install -e '.[dev]'; python -m pytest) in a sandbox and document them.
Docs driftJunior agentAutopilotEstimate~0.5 credits≈ $0.50 · ~0.5h - 03
03Take on 7 open bug issues
Open issues labeled bug are ready-made, scoped tasks. An agent would reproduce each one, propose a fix with tests and link the issue from the pull request. Issue work is proposed, not auto-executed.
Issue follow-upFeature agentNeeds approval- #50141 fsdp_config["ignored_modules"] is silently ignored by TrainingArguments
- #49310 [PERF] DeepSeek-V3.2 / GLM-5 lightning indexer overallocates memory
- #50137 Qwen4ExpModel._no_split_modules lists not existing modules
- #50135 RoPE inv_freq is initialized in bf16 under DeepSpeed ZeRO-3 again (regression of #28760 from #47598)
- #50109 WatermarkDetector p-values are wrong for large z-scores (exactly 0 above z ≈ 7.7)
Estimate~6 credits≈ $6 · ~2h
2 of these 3 tasks would start under default autopilot settings; 1 would wait for a human-approved job. Estimates only. Hours are rough planning sizes per task type; credits = hours × the tier's credits per hour; dollars use the published top-up price per credit. Nothing has been run on this repository.
Next
Evaluate a different repository
Free preview · No signup needed
Try a popular repo
One-click preview