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diff --git a/docs/hub/model-cards.md b/docs/hub/model-cards.md
@@ -252,7 +252,7 @@ Details on how to fill out a human-readable model card without Hub-specific meta
 
 ### How are model tags determined?
 
-Each model page lists all the model's tags in the page header, below the model name. These are primarily computed from the model card metadata, although some are added automatically, as described in [Creating a Widget](./models-widgets#creating-a-widget).
+Each model page lists all the model's tags in the page header, below the model name. These are primarily computed from the model card metadata, although some are added automatically, as described in [Enabling a Widget](./models-widgets#enabling-a-widget).
 
 ### Can I add custom tags to my model?
 

diff --git a/docs/hub/models-libraries.md b/docs/hub/models-libraries.md
@@ -16,7 +16,7 @@ The table below summarizes the supported libraries and their level of integratio
 | [fastai](./fastai)                                  | Library to train fast and accurate models with state-of-the-art outputs.             | ✅ | ✅ | ✅ | ✅ |
 | [Keras](./keras)                              | Open-source multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch. | ❌ | ❌ | ✅ | ✅ |
 | [KerasNLP](https://keras.io/guides/keras_nlp/upload/)                              | Natural language processing library built on top of Keras that works natively with TensorFlow, JAX, or PyTorch. | ❌ | ❌ | ✅ | ✅ |
-| [TF-Keras](./keras#tf-keras-legacy) (legacy)                              | Legacy library that uses a consistent and simple API to build models leveraging TensorFlow and its ecosystem. | ❌ | ❌ | ✅ | ✅ |
+| [TF-Keras](./tf-keras) (legacy)                              | Legacy library that uses a consistent and simple API to build models leveraging TensorFlow and its ecosystem. | ❌ | ❌ | ✅ | ✅ |
 | [Flair](./flair)                                  | Very simple framework for state-of-the-art NLP.                                      | ✅ | ✅ | ✅ | ✅ |
 | [MBRL-Lib](https://github.com/facebookresearch/mbrl-lib)                    | PyTorch implementations of MBRL Algorithms.                                          | ❌ | ❌ | ✅ | ✅ |
 | [MidiTok](https://github.com/Natooz/MidiTok)                                | Tokenizers for symbolic music / MIDI files.                                          | ❌ | ❌ | ✅ | ✅ |

diff --git a/docs/hub/models-uploading.md b/docs/hub/models-uploading.md
@@ -155,4 +155,4 @@ Alternatively, one can also simply programmatically upload files or folders to t
 
 ## Using Git
 
-Finally, since model repos are just Git repositories, you can also use Git to push your model files to the Hub. Follow the guide on [Getting Started with Repositories](repositories-getting-started#adding-files-to-a-repository-terminalterminal) to learn about using the `git` CLI to commit and push your models.
+Finally, since model repos are just Git repositories, you can also use Git to push your model files to the Hub. Follow the guide on [Getting Started with Repositories](repositories-getting-started#terminal) to learn about using the `git` CLI to commit and push your models.
diff --git a/docs/hub/repositories-pull-requests-discussions.md b/docs/hub/repositories-pull-requests-discussions.md
@@ -7,7 +7,7 @@ At a high level, the aim is to build a simpler version of other git hosts' (like
 - there's no hard distinction between discussions and PRs: they are essentially the same so they are displayed in the same lists.
 - they are streamlined for ML (i.e. models/datasets/spaces repos), not arbitrary repos.
 
-_Note, Pull Requests and discussions can be enabled or disabled from the [repository settings](./repositories-settings#disabling-discussions-pull-requests)_
+_Note, Pull Requests and discussions can be enabled or disabled from the [repository settings](./repositories-settings#disabling-discussions--pull-requests)_
 
 ## List
 

diff --git a/docs/hub/security-secrets.md b/docs/hub/security-secrets.md
@@ -1,6 +1,6 @@
 # Secrets Scanning
 
-It is important to manage [your secrets (env variables) properly](./spaces-overview#managing-secrets-and-environment-variables). The most common way people expose their secrets to the outside world is by hard-coding their secrets in their `app.py` files directly, which makes it possible for a malicious user to utilize your secrets and services your secrets have access to. 
+It is important to manage [your secrets (env variables) properly](./spaces-overview#managing-secrets). The most common way people expose their secrets to the outside world is by hard-coding their secrets in their `app.py` files directly, which makes it possible for a malicious user to utilize your secrets and services your secrets have access to.
 
 For example, this is what a compromised `app.py` file might look like:
Original file line number	Diff line number	Diff line change
Expand Up		@@ -155,4 +155,4 @@ Alternatively, one can also simply programmatically upload files or folders to t

		## Using Git

		Finally, since model repos are just Git repositories, you can also use Git to push your model files to the Hub. Follow the guide on [Getting Started with Repositories](repositories-getting-started#adding-files-to-a-repository-terminalterminal) to learn about using the `git` CLI to commit and push your models.
		Finally, since model repos are just Git repositories, you can also use Git to push your model files to the Hub. Follow the guide on [Getting Started with Repositories](repositories-getting-started#terminal) to learn about using the `git` CLI to commit and push your models.