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Add minimum version check in examples (#10724)

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* Add minimum version check in examples

* Style

* No need for new line maybe?

* Add helpful comment
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Sylvain Gugger
2021-03-15 19:29:54 -04:00
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parent 966ba081c9
commit 4c379daf64
13 changed files with 116 additions and 7 deletions
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examples/README.md
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@@ -33,10 +33,43 @@ Then cd in the example folder of your choice and run
pip install -r requirements.txt
```
Alternatively, you can run the version of the examples as they were for your current version of Transformers via (for instance with v3.5.1):
To browse the examples corresponding to released versions of 🤗 Transformers, click on the line below and then on your desired version of the library:
<details>
<summary>Examples for older versions of 🤗 Transformers</summary>
- [v4.3.3](https://github.com/huggingface/transformers/tree/v4.3.3/examples)
- [v4.2.2](https://github.com/huggingface/transformers/tree/v4.2.2/examples)
- [v4.1.1](https://github.com/huggingface/transformers/tree/v4.1.1/examples)
- [v4.0.1](https://github.com/huggingface/transformers/tree/v4.0.1/examples)
- [v3.5.1](https://github.com/huggingface/transformers/tree/v3.5.1/examples)
- [v3.4.0](https://github.com/huggingface/transformers/tree/v3.4.0/examples)
- [v3.3.1](https://github.com/huggingface/transformers/tree/v3.3.1/examples)
- [v3.2.0](https://github.com/huggingface/transformers/tree/v3.2.0/examples)
- [v3.1.0](https://github.com/huggingface/transformers/tree/v3.1.0/examples)
- [v3.0.2](https://github.com/huggingface/transformers/tree/v3.0.2/examples)
- [v2.11.0](https://github.com/huggingface/transformers/tree/v2.11.0/examples)
- [v2.10.0](https://github.com/huggingface/transformers/tree/v2.10.0/examples)
- [v2.9.1](https://github.com/huggingface/transformers/tree/v2.9.1/examples)
- [v2.8.0](https://github.com/huggingface/transformers/tree/v2.8.0/examples)
- [v2.7.0](https://github.com/huggingface/transformers/tree/v2.7.0/examples)
- [v2.6.0](https://github.com/huggingface/transformers/tree/v2.6.0/examples)
- [v2.5.1](https://github.com/huggingface/transformers/tree/v2.5.1/examples)
- [v2.4.0](https://github.com/huggingface/transformers/tree/v2.4.0/examples)
- [v2.3.0](https://github.com/huggingface/transformers/tree/v2.3.0/examples)
- [v2.2.0](https://github.com/huggingface/transformers/tree/v2.2.0/examples)
- [v2.1.1](https://github.com/huggingface/transformers/tree/v2.1.0/examples)
- [v2.0.0](https://github.com/huggingface/transformers/tree/v2.0.0/examples)
- [v1.2.0](https://github.com/huggingface/transformers/tree/v1.2.0/examples)
- [v1.1.0](https://github.com/huggingface/transformers/tree/v1.1.0/examples)
- [v1.0.0](https://github.com/huggingface/transformers/tree/v1.0.0/examples)
</details>
Alternatively, you can find switch your cloned 🤗 Transformers to a specific version (for instance with v3.5.1) with
```bash
git checkout tags/v3.5.1
```
and run the example command as usual afterward.
## The Big Table of Tasks
@@ -62,12 +95,6 @@ Coming soon!
| [**`translation`**](https://github.com/huggingface/transformers/tree/master/examples/seq2seq) | WMT | ✅ | - | - | -
<!--
## One-click Deploy to Cloud (wip)
**Coming soon!**
-->
## Distributed training and mixed precision
All the PyTorch scripts mentioned above work out of the box with distributed training and mixed precision, thanks to