Update pipeline.mdx
Fix conversion errors
@@ -520,7 +520,7 @@ On top of encoding the input texts, a `Tokenizer` also has an API for decoding,
generated by your model back to a text. This is done by the methods
`Tokenizer.decode` (for one predicted text) and `Tokenizer.decode_batch` (for a batch of predictions).
-The [decoder]{.title-ref} will first convert the IDs back to tokens
+The `decoder` will first convert the IDs back to tokens
(using the tokenizer's vocabulary) and remove all special tokens, then
join those tokens with spaces:
@@ -556,7 +556,7 @@ join those tokens with spaces:
If you used a model that added special characters to represent subtokens
of a given "word" (like the `"##"` in
-WordPiece) you will need to customize the [decoder]{.title-ref} to treat
+WordPiece) you will need to customize the `decoder` to treat
them properly. If we take our previous `bert_tokenizer` for instance the
default decoing will give:
