🚀 Feature request

In pipelines tests and documentation they are recurringly named nlp, the goal is to rename them to something more appropriate.

Motivation

nlp = pipeline(task='conversational', model='XXX')

This is a bit pre

Please can you train ghostnet.
(i don't have the imagenet dataset)

🐛 Bug

File "/home/ubuntu/vqa/GMN/mmf/mmf/datasets/builders/visual_genome/dataset.py", line 44, in init
scene_graph_file = self._get_absolute_path(scene_graph_file)
AttributeError: 'VisualGenomeDataset' object has no attribute '_get_absolute_path'

Command that i run in shell

CUDA_VISIBLE_DEVICES="0" mmf_run config=projects/gmn/configs/visual_genome/defaults.yaml model=gm

Hi
when I do classification with the pretrained vggface2 model, how do I match a probability to a name? do you have a list of labels for the trained model?

Thanks

Is your feature request related to a problem? Please describe.
With the new flexible Pipelines introduced in deepset-ai/haystack#596, we can build way more flexlible and complex search routes.
One common challenge that we saw in deployments: We need to distinguish between real questions and keyword queries that come in. We only want to route questions to the Reader b

QAInferencer still needs task type explicitly set.