[DOCS] zero-shot-detection-transformer-torch example not working

[daniel-bogdoll]

URL(s) with the issue

https://docs.voxel51.com/model_zoo/models.html#zero-shot-detection-transformer-torch

Description of proposal (what needs changing)

Running the example gives the following error:

Error: OwlViTForObjectDetection.forward() missing 1 required positional argument: 'input_ids'

The examples provided here should be the correct ones, have not tested though: https://docs.voxel51.com/integrations/huggingface.html#zero-shot-object-detection

Willingness to contribute

The FiftyOne Community encourages documentation contributions. Would you or another member of your organization be willing to contribute a fix for this documentation issue to the FiftyOne codebase?

• Yes. I can contribute a documentation fix independently
• Yes. I would be willing to contribute a documentation fix with guidance from the FiftyOne community
• No. I cannot contribute a documentation fix at this time

[jacobmarks]

Hey @daniel-bogdoll , thanks for pointing this out! I think the documentation needs to add the class names, which is why this error is occurring. It should work if you add, for instance,

classes=["cat", "dog", "bird", "fish", "turtle"]

[daniel-bogdoll]

@jacobmarks Should I just go ahead and update the example in the docs?

[jacobmarks]

Go for it!

[brimoor]

@daniel-bogdoll Some helpful hints 😄

1. Instructions to build the docs locally
2. Model zoo docs are a bit unique: the model listing is generated from this template. You'll notice that if you want a custom code block for a certain model, you have to write an if block based on its name, tags, etc

Let @jacobmarks know if you need any help!

[daniel-bogdoll]

@brimoor Thanks! Worked well, just one little thing I needed to do manually that was missing in the instructions:

sudo apt install pandoc

as I got

Notebook error:
PandocMissing in recipes/adding_classifications.ipynb: