diff --git a/src/accelerate/accelerator.py b/src/accelerate/accelerator.py
index 552c8392c..bb58ca57f 100644
--- a/src/accelerate/accelerator.py
+++ b/src/accelerate/accelerator.py
@@ -125,8 +125,8 @@ class Accelerator:
             - `"tensorboard"`
             - `"wandb"`
             - `"comet_ml"`
-            If `"all`" is selected, will pick up all available trackers in the environment and intialize them. Can also
-            accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`.
+            If `"all"` is selected, will pick up all available trackers in the environment and initialize them. Can
+            also accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`.
         logging_dir (`str`, `os.PathLike`, *optional*):
             A path to a directory for storing logs of locally-compatible loggers.
         dispatch_batches (`bool`, *optional*):
@@ -643,7 +643,7 @@ def prepare(self, *args):
                     "The model and the optimizer parameters are not on the same device, which probably means you "
                     "created an optimizer around your model **before** putting on the device. Make sure the line "
                     "model.to(device) is before the optimizer creation in your script or remove it entirely and use "
-                    "the flag default value for `devicement_placement` in your `Accelerator` to let it handle that "
+                    "the flag default value for `device_placement` in your `Accelerator` to let it handle that "
                     "part for you."
                 )
 
diff --git a/src/accelerate/big_modeling.py b/src/accelerate/big_modeling.py
index 3c67b6ee5..9d57c144f 100644
--- a/src/accelerate/big_modeling.py
+++ b/src/accelerate/big_modeling.py
@@ -44,7 +44,7 @@ def init_empty_weights(include_buffers: bool = False):
 
     Example:
 
-    ```pyton
+    ```python
     import torch.nn as nn
     from accelerate import init_empty_weights
 
@@ -324,7 +324,7 @@ def load_checkpoint_and_dispatch(
         dtype (`str` or `torch.dtype`, *optional*):
             If provided, the weights will be converted to that type when loaded.
         offload_state_dict (`bool`, *optional*):
-            If `True`, will temporarily offload the CPU state dict on the hard drive to avoig getting out of CPU RAM if
+            If `True`, will temporarily offload the CPU state dict on the hard drive to avoid getting out of CPU RAM if
             the weight of the CPU state dict + the biggest shard does not fit. Will default to `True` if the device map
             picked contains `"disk"` values.
         preload_module_classes (`List[str]`, *optional*):
diff --git a/src/accelerate/tracking.py b/src/accelerate/tracking.py
index ee6d194f1..a438ab45b 100644
--- a/src/accelerate/tracking.py
+++ b/src/accelerate/tracking.py
@@ -424,8 +424,8 @@ def filter_trackers(
             - `"tensorboard"`
             - `"wandb"`
             - `"comet_ml"`
-            If `"all`" is selected, will pick up all available trackers in the environment and intialize them. Can also
-            accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`.
+            If `"all"` is selected, will pick up all available trackers in the environment and initialize them. Can
+            also accept implementations of `GeneralTracker` for custom trackers, and can be combined with `"all"`.
         logging_dir (`str`, `os.PathLike`, *optional*):
             A path to a directory for storing logs of locally-compatible loggers.
     """
diff --git a/src/accelerate/utils/modeling.py b/src/accelerate/utils/modeling.py
index 467a757b4..0b57ae6d8 100644
--- a/src/accelerate/utils/modeling.py
+++ b/src/accelerate/utils/modeling.py
@@ -617,7 +617,7 @@ def load_checkpoint_in_model(
         dtype (`str` or `torch.dtype`, *optional*):
             If provided, the weights will be converted to that type when loaded.
         offload_state_dict (`bool`, *optional*, defaults to `False`):
-            If `True`, will temporarily offload the CPU state dict on the hard drive to avoig getting out of CPU RAM if
+            If `True`, will temporarily offload the CPU state dict on the hard drive to avoid getting out of CPU RAM if
             the weight of the CPU state dict + the biggest shard does not fit.
     """
     if offload_folder is None and device_map is not None and "disk" in device_map.values():



Discussion: body: _The documentation is not available anymore as the PR was closed or merged._
body: Hey @sgugger ,

Trying to run your Makefile has proven really tough for me:
1. `python` doesn't exist on ubuntu. Setup a symlink for `python` -> `python3` ...

2. `python3.9` running `make style` tries to change  30 files
`30 files reformatted, 55 files left unchanged.`

3. Tried to match the runner and did a `docker run ... 3.7.... -v .:/accelerate` ...
This still gave different results than the CI runner:
`5 files reformatted, 80 files left unchanged.`

I'm unable to actually get my black/isort to match what the test unhappy about.

It appears the test is failing for a line length style issue from a file that wasn't actually touched in this commit... 

It feels like it should have tripped on #711  -- not here. 

```
python utils/style_doc.py src/accelerate docs/source --max_len 119 --check_only
Traceback (most recent call last):
  File "utils/style_doc.py", line 556, in <module>
    main(*args.files, max_len=args.max_len, check_only=args.check_only)
  File "utils/style_doc.py", line 544, in main
    raise ValueError(f"{len(changed)} files should be restyled!")
```

Can we just merge this in, and fix that style next time you lint?

Or could you jump in on this one and help run the `make style` to get that file to format correctly based on your black/isort spec?

Is there a docker image or something setup to run your `Makefile` in a reproducible environment? I'm probably missing something...
body: Hey @sgugger  --

This is jumping the shark, but I do have a (arguably) nice pre-commit template that handles autoflake, isort, black and works well cross-platform.

Here's a screenshot. If you want to re-do the makefile, I can start a new ticket and switch it to pre-commit.

![image](https://user-images.githubusercontent.com/523300/191733560-c07f973d-5c9c-4087-a8b0-6303ba028169.png)

This also checks for conventional commits format(optional).

This would be a bit bigger in scope and more opinionated than what I thought I was starting with some readability PR's :)

Let me know if this is something that's of interest to swapping out for the huggingface team... if so, we can throw it in a new issue.

body: Hi @ryanrussell, I think the issue here is the wrong black/flake8 may be installed? Can you try running `make style` again after doing `pip install -e .[quality]` (or `pip install accelerate[quality]` depending on how you have it installed)?
body: Hi @ryanrussell. 90% on the team is on Ubuntu and have no problem with running `make style` without doing any aliases. Not sure why you don't have the `python` command available after installing Python.

Then as @muellerzr said, you need to have the pinned versions we use for the libraries formatting the code, which is why we recommend using a virtual environment. I've pushed a style commit to move forward with this PR.

I don't want to add pre-commit hooks as I prefer having the ability to do the styling in a separate commit when I'm afraid it might break something.
body: Hey @sgugger -- thanks for helping fix this. Sounds like it's a user error on my side.

I'll wait to send any more PR's until I setup a venv with correct version pins and can replicate the expected linting from the CI...

Just found the discord, so joining there... if I run into any issues, much easier to iterate there than through comments :+1: 
body: Failures are unrelated (something in the dev of evaluate messed up) so merging!