Fix typos in feat extract doc

hfdocs/source/feature_extraction.mdx

@@ -192,9 +192,9 @@ There are two additional creation arguments impacting the output features.
 
 #### Output index selection
 
-The `out_indices` argument is supported by all models, but not all models have the same index to feature stride mapping. Look at the code or check feature_info to compare. The out indices generally correspond to the `C(i+1)th` feature level (a `2^(i+1)` reduction). For most convnet models, index 0 is the stride 2 features, and index 4 is stride 32. For many ViT or ViT-Conv hybrids there may be many to all features maps of the same shape, or a combination of hierarchical and non-hieararchical feature maps. It is best to look at the `feature_info` attribute to see the number of features, their corresponding channel count and reduction level.
+The `out_indices` argument is supported by all models, but not all models have the same index to feature stride mapping. Look at the code or check feature_info to compare. The out indices generally correspond to the `C(i+1)th` feature level (a `2^(i+1)` reduction). For most convnet models, index 0 is the stride 2 features, and index 4 is stride 32. For many ViT or ViT-Conv hybrids there may be many to all features maps of the same shape, or a combination of hierarchical and non-hierarchical feature maps. It is best to look at the `feature_info` attribute to see the number of features, their corresponding channel count and reduction level.
 
-`out_indices` supports negative indexing, this makes it easy to get the last, penunltimate, etc feature map. `out_indices=(-2,)` would return the penultimate feature map for any model.
+`out_indices` supports negative indexing, this makes it easy to get the last, penultimate, etc feature map. `out_indices=(-2,)` would return the penultimate feature map for any model.
 
 #### Output stride (feature map dilation)
 
@@ -228,7 +228,7 @@ Accompanying the `forward_intermediates` function is a `prune_intermediate_layer
 
 An `indices` argument is used for both `forward_intermediates()` and `prune_intermediate_layers()` to select the features to return or layers to remove. As with the `out_indices` for `features_only` API, `indices` is model specific and selects which intermediates are returned.
 
-In non-hierarchical block based models such as ViT the indices correspond to the blocks, in models with hierarchical stages they usually correspond to the output of the stem + each hierarhical stage. Both positive (from the start), and negative (relative to the end) indexing works, and `None` is used to return all intermediates.
+In non-hierarchical block based models such as ViT the indices correspond to the blocks, in models with hierarchical stages they usually correspond to the output of the stem + each hierarchical stage. Both positive (from the start), and negative (relative to the end) indexing works, and `None` is used to return all intermediates.
 
 The `prune_intermediate_layers()` call returns an indices variable, as negative indices must be converted to absolute (positive) indices when the model is trimmed.