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Doc styler examples (#14953)

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* Fix bad examples

* Add black formatting to style_doc

* Use first nonempty line

* Put it at the right place

* Don't add spaces to empty lines

* Better templates

* Deal with triple quotes in docstrings

* Result of style_doc

* Enable mdx treatment and fix code examples in MDXs

* Result of doc styler on doc source files

* Last fixes

* Break copy from
This commit is contained in:
Sylvain Gugger
2021-12-27 19:07:46 -05:00
committed by GitHub
parent e13f72fbff
commit b5e2b183af
211 changed files with 2738 additions and 1711 deletions
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5
docs/source/glossary.mdx
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@@ -58,6 +58,7 @@ tokenizer, which is a [WordPiece](https://arxiv.org/pdf/1609.08144.pdf) tokenize
```python
>>> from transformers import BertTokenizer
>>> tokenizer = BertTokenizer.from_pretrained("bert-base-cased")
>>> sequence = "A Titan RTX has 24GB of VRAM"
@@ -126,6 +127,7 @@ For example, consider these two sequences:
```python
>>> from transformers import BertTokenizer
>>> tokenizer = BertTokenizer.from_pretrained("bert-base-cased")
>>> sequence_a = "This is a short sequence."
@@ -190,6 +192,7 @@ arguments (and not a list, like before) like this:
```python
>>> from transformers import BertTokenizer
>>> tokenizer = BertTokenizer.from_pretrained("bert-base-cased")
>>> sequence_a = "HuggingFace is based in NYC"
>>> sequence_b = "Where is HuggingFace based?"
@@ -212,7 +215,7 @@ the two types of sequence in the model.
The tokenizer returns this mask as the "token_type_ids" entry:
```python
>>> encoded_dict['token_type_ids']
>>> encoded_dict["token_type_ids"]
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1]
```