Add minimum version check in examples (#10724)

* Add minimum version check in examples

* Style

* No need for new line maybe?

* Add helpful comment

examples/README.md

@@ -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

examples/language-modeling/run_clm.py

@@ -44,8 +44,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/language-modeling/run_mlm.py

@@ -44,8 +44,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 MODEL_CONFIG_CLASSES = list(MODEL_FOR_MASKED_LM_MAPPING.keys())
 MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)

examples/language-modeling/run_plm.py

@@ -40,8 +40,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/multiple-choice/run_swag.py

@@ -42,8 +42,12 @@ from transformers import (
 from transformers.file_utils import PaddingStrategy
 from transformers.tokenization_utils_base import PreTrainedTokenizerBase
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/question-answering/run_qa.py

@@ -41,9 +41,13 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 from utils_qa import postprocess_qa_predictions
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/question-answering/run_qa_beam_search.py

@@ -40,9 +40,13 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 from utils_qa import postprocess_qa_predictions_with_beam_search
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/seq2seq/run_summarization.py

@@ -43,8 +43,12 @@ from transformers import (
 )
 from transformers.file_utils import is_offline_mode
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 try:

examples/seq2seq/run_translation.py

@@ -42,8 +42,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/text-classification/run_glue.py

@@ -41,8 +41,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 task_to_keys = {
     "cola": ("sentence", None),
     "mnli": ("premise", "hypothesis"),

examples/text-classification/run_xnli.py

@@ -41,8 +41,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)
 
 

examples/token-classification/run_ner.py

@@ -41,8 +41,12 @@ from transformers import (
     set_seed,
 )
 from transformers.trainer_utils import get_last_checkpoint, is_main_process
+from transformers.utils import check_min_version
 
 
+# Will error if the minimal version of Transformers is not installed. Remove at your own risks.
+check_min_version("4.4.0.dev0")
+
 logger = logging.getLogger(__name__)