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HuggingFace_transformer/.github/ISSUE_TEMPLATE/bug-report.yml
NielsRogge e113c5cb64 Remove render tags (#17897)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-06-29 06:06:42 -04:00

120 lines
4.6 KiB
YAML

name: "\U0001F41B Bug Report"
description: Submit a bug report to help us improve transformers
labels: [ "bug" ]
body:
- type: textarea
id: system-info
attributes:
label: System Info
description: Please share your system info with us. You can run the command `transformers-cli env` and copy-paste its output below.
placeholder: transformers version, platform, python version, ...
validations:
required: true
- type: textarea
id: who-can-help
attributes:
label: Who can help?
description: |
Your issue will be replied to more quickly if you can figure out the right person to tag with @
If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
Please tag fewer than 3 people.
Models:
- ALBERT, BERT, XLM, DeBERTa, DeBERTa-v2, ELECTRA, MobileBert, SqueezeBert: `@LysandreJik`
- T5, Pegasus, EncoderDecoder: `@patrickvonplaten`
- Blenderbot, MBART, BART, Marian, Pegasus: `@patil-suraj`
- Reformer, TransfoXL, XLNet, FNet: `@patrickvonplaten`
- Longformer, BigBird: `@ydshieh`
- FSMT: `@stas00`
- Funnel: `@sgugger`
- GPT-2, GPT: `@patil-suraj`, `@patrickvonplaten`, `@LysandreJik`
- RAG, DPR: `@patrickvonplaten`, `@lhoestq`
- TensorFlow: `@Rocketknight1`
- JAX/Flax: `@patil-suraj`
- TAPAS, LayoutLM, LayoutLMv2, LUKE, ViT, BEiT, DEiT, DETR, CANINE: `@NielsRogge`
- GPT-Neo, GPT-J, CLIP: `@patil-suraj`
- Wav2Vec2, HuBERT, UniSpeech, UniSpeechSAT, SEW, SEW-D: `@patrickvonplaten`, `@anton-l`
- SpeechEncoderDecoder, Speech2Text, Speech2Text2: `@sanchit-gandhi`, `@patrickvonplaten`, `@anton-l`
If the model isn't in the list, ping `@LysandreJik` who will redirect you to the correct contributor.
Library:
- Benchmarks: `@patrickvonplaten`
- Deepspeed: `@stas00`
- Ray/raytune: `@richardliaw`, `@amogkam`
- Text generation: `@patrickvonplaten`, `@Narsil`, `@gante`
- Tokenizers: `@SaulLu`
- Trainer: `@sgugger`
- Pipelines: `@Narsil`
- Speech: `@patrickvonplaten`, `@anton-l`, `@sanchit-gandhi`
- Vision: `@NielsRogge`, `@sgugger`
Documentation: `@sgugger`, `@stevhliu`
Model hub:
- for issues with a model, report at https://discuss.huggingface.co/ and tag the model's creator.
HF projects:
- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
Examples:
- maintained examples (not research project or legacy): `@sgugger`, `@patil-suraj`
For research projetcs, please ping the contributor directly. For example, on the following projects:
- research_projects/bert-loses-patience: `@JetRunner`
- research_projects/distillation: `@VictorSanh`
placeholder: "@Username ..."
- type: checkboxes
id: information-scripts-examples
attributes:
label: Information
description: 'The problem arises when using:'
options:
- label: "The official example scripts"
- label: "My own modified scripts"
- type: checkboxes
id: information-tasks
attributes:
label: Tasks
description: "The tasks I am working on are:"
options:
- label: "An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)"
- label: "My own task or dataset (give details below)"
- type: textarea
id: reproduction
validations:
required: true
attributes:
label: Reproduction
description: |
Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
If you have code snippets, error messages, stack traces please provide them here as well.
Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
placeholder: |
Steps to reproduce the behavior:
1.
2.
3.
- type: textarea
id: expected-behavior
validations:
required: true
attributes:
label: Expected behavior
description: "A clear and concise description of what you would expect to happen."