James Wexler

@leandrohmvieira how did you get Dive to display in databricks? I just tried the first two cells from the example code you linked to in a databricks environment and the...

Thanks @leandrohmvieira When running that cell, instead of Dive I see an error "Uncaught TypeError: Cannot read property '' of undefined", which is a JS error inside Dive, but one...

The generations tutorial link follows along with some demo code we wrote that uses a t5 model for text generation, but the concepts in the UI will be the same...

Thanks for sharing. The first issue you are running into is that your self.tokenizer and self.model are swapped. self.model should be the BartForConditionalGeneration, not the BartTokenizer. If you fix that,...

We aren't actively developing Facets so there is no update. If you do have a solution that will keep it looking the same normally but allows some dark-mode coloring, we...

Thanks for reaching out @leemengtaiwan . I see in your console output a lot of messaging about jupyter. What browser/OS are you trying to connect to your LIT server from?...

Ah thanks for the added context. We haven't tested LIT with sagemaker notebook instances, but we will have to look into what is causing the issue. We'll work on supporting...

LIT natively doesn't have any logic that creates word clouds from datasets. But, as a user, you can create your own custom front-end module for LIT that could display word...

Thanks for reaching out. Looks like the glue models predict_minibatch [code](https://github.com/PAIR-code/lit/blob/main/lit_nlp/examples/models/glue_models.py#L420) uses the python build-in function `map` to create the output dicts for each input. This function returns a map...

Thanks so much, @itstommygunn I've added this issue to our internal bug tracking list as well to ensure we fix this inconvenience.