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Update doc examples feature extractor -> image processor (#20501)

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* Update doc example feature extractor -> image processor

* Apply suggestions from code review
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amyeroberts
2022-11-30 14:50:55 +00:00
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commit 17a7b49bda
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docs/source/en/model_doc/visual_bert.mdx
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@@ -53,7 +53,7 @@ vectors to a standard BERT model. The text input is concatenated in the front of
layer, and is expected to be bound by [CLS] and a [SEP] tokens, as in BERT. The segment IDs must also be set
appropriately for the textual and visual parts.
The [`BertTokenizer`] is used to encode the text. A custom detector/feature extractor must be used
The [`BertTokenizer`] is used to encode the text. A custom detector/image processor must be used
to get the visual embeddings. The following example notebooks show how to use VisualBERT with Detectron-like models:
- [VisualBERT VQA demo notebook](https://github.com/huggingface/transformers/tree/main/examples/research_projects/visual_bert) : This notebook