You can use tqdm in Databricks by installing the library in your Databricks workspace. Here is how you can do it:

1. In the Databricks workspace, go to the "Workspace" section and click on the "Create" button.
2. Select "Library" and then "PyPI."
3. In the "Package" field, type "tqdm" and select the latest version of the library.
4. Click on the "Create" button to install the library.

Once the library is installed, you can use it in your Databricks notebooks by importing the library and using the tqdm function to wrap your loops.

Here is again an example how it could look like in code: 

```
from tqdm import tqdm

for i in tqdm(range(1000)):
  # Your code here
```

This will display a progress bar that shows the progress of your loop. You can use the tqdm function to wrap any loop or iterator in your code to get a progress bar.
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