message: Fix link. Add missing #
diff: @@ -23,14 +23,15 @@ TensorFlow Lite inference on device typically follows the following steps.
  execution graph.
  1. **Transforming Data**
  - Input data acquired by the user generally may not match the input data format expected by the model. For eg., a user may need to resize an image or change
  + Input data acquired by the user generally may not match the input data format
  + expected by the model. For eg., a user may need to resize an image or change
  the image format to be used by the model.
  1. **Running Inference**
  This step involves using the API to execute the model. It involves a few
  steps such as building the interpreter, and allocating tensors as explained
  - in detail in [Running a Model](running-a-model).
  + in detail in [Running a Model](#running_a_model).
  1. **Interpreting Output**
  @@ -129,7 +130,7 @@ In both cases a valid TensorFlow Lite model must be provided or an
  initialize an Interpreter, it should remain unchanged for the whole lifetime of
  the `Interpreter`.
  -### Running a Model
  +### Running a Model {#running_a_model}
  #### C++
  Running a model involves a few simple steps:
  