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Update bug-report.md

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- change references to pytorch-transformers to transformers
- link to code formatting guidelines
This commit is contained in:
BramVanroy
2020-01-28 13:03:50 +01:00
committed by Julien Chaumond
parent b2907cd06e
commit c63d91dd1c
1 changed files with 13 additions and 11 deletions
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.github/ISSUE_TEMPLATE/bug-report.md vendored
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@@ -1,6 +1,6 @@
---
name: "\U0001F41B Bug Report"
about: Submit a bug report to help us improve PyTorch Transformers
about: Submit a bug report to help us improve transformers
title: ''
labels: ''
assignees: ''
@@ -11,19 +11,19 @@ assignees: ''
<!-- Important information -->
Model I am using (Bert, XLNet....):
Model I am using (Bert, XLNet ...):
Language I am using the model on (English, Chinese....):
Language I am using the model on (English, Chinese ...):
The problem arise when using:
* [ ] the official example scripts: (give details)
* [ ] my own modified scripts: (give details)
The problem arises when using:
* [ ] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [ ] my own task or dataset: (give details)
* [ ] my own task or dataset: (give details below)
## To Reproduce
## To reproduce
Steps to reproduce the behavior:
@@ -31,18 +31,20 @@ Steps to reproduce the behavior:
2.
3.
<!-- If you have a code sample, error messages, stack traces, please provide it here as well. -->
<!-- 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.-->
## Expected behavior
<!-- A clear and concise description of what you expected to happen. -->
<!-- A clear and concise description of what you would expect to happen. -->
## Environment
* OS:
* Python version:
* PyTorch version:
* PyTorch Transformers version (or branch):
* `transformers` version (or branch):
* Using GPU ?
* Distributed or parallel setup ?
* Any other relevant information: