diff --git a/docs/integrations/unstructured.md b/docs/integrations/unstructured.md
index 6c07bb65..fb3ba2a5 100644
--- a/docs/integrations/unstructured.md
+++ b/docs/integrations/unstructured.md
@@ -4,8 +4,7 @@
 [Unstructured.IO](https://www.unstructured.io/) extracts clean text from raw source documents like
 PDFs and Word documents.
 This page covers how to use the [`unstructured`](https://github.com/Unstructured-IO/unstructured)
-ecosystem within LangChain. 
-
+ecosystem within LangChain.
 
 ## Installation and Setup
 
@@ -20,12 +19,6 @@ its dependencies running locally.
     - `tesseract-ocr`(images and PDFs)
     - `libreoffice` (MS Office docs)
     - `pandoc` (EPUBs)
-- If you are parsing PDFs using the `"hi_res"` strategy, run the following to install the `detectron2` model, which
-  `unstructured` uses for layout detection:
-    - `pip install "detectron2@git+https://github.com/facebookresearch/detectron2.git@e2ce8dc#egg=detectron2"`
-    - If `detectron2` is not installed, `unstructured` will fallback to processing PDFs
-      using the `"fast"` strategy, which uses `pdfminer` directly and doesn't require
-      `detectron2`.
 
 If you want to get up and running with less set up, you can
 simply run `pip install unstructured` and use `UnstructuredAPIFileLoader` or
diff --git a/docs/modules/indexes/document_loaders/examples/unstructured_file.ipynb b/docs/modules/indexes/document_loaders/examples/unstructured_file.ipynb
index e391f1ac..8bccef0d 100644
--- a/docs/modules/indexes/document_loaders/examples/unstructured_file.ipynb
+++ b/docs/modules/indexes/document_loaders/examples/unstructured_file.ipynb
@@ -19,7 +19,6 @@
    "source": [
     "# # Install package\n",
     "!pip install \"unstructured[local-inference]\"\n",
-    "!pip install \"detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.6#egg=detectron2\"\n",
     "!pip install layoutparser[layoutmodels,tesseract]"
    ]
   },