question-answering-gemma-7b

Question Answering 

This workflow excel at providing informative and accurate responses to a wide range of questions across diverse domains.

Model used

This workflow uses the Gemma-7v-it Model with defined prompt template optimized for answering questions.

How to use the Question Answering workflow? 

Using Clarifai SDK

Export your PAT as an environment variable. Then, import and initialize the API Client.

Find your PAT in your security settings.

export CLARIFAI_PAT={your personal access token}

Prediction with the workflow

from clarifai.client.workflow import Workflow

workflow_url = 'https://clarifai.com/clarifai/content-generation-template/workflows/question-answering-gemma-7b'

text = 'What are the differences between aerobic and anaerobic exercise, and how can someone balance them in a weekly fitness routine?'

summarisation = Workflow(workflow_url).predict_by_bytes( text.encode(), input_type="text")

# Get workflow results
print(prediction.results[0].outputs[-1].data.text.raw)

Using Workflow

To utilize the Question Answering workflow, you can input text through the Blue Plus Try your own Input button and it will provide the informative and accurate responses to a wide range of questions.