localminimum / localminimum/QANet
how to predict answers for custom question and context by reusing loaded model
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- Dominant language
- Python
- Stars
- 985
- Forks
- 297
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Description
Hello All,
I have many json files whose format are the same as the standard train file or dev file so can i feed that to this network and predict to get the answers for different input questions and contexts?
Thanks,
Sachin B. Ichake
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing the entry points that load the model and consume the standard train or dev JSON format. Confirm whether those paths support prediction for custom questions and contexts, then define completion as producing answers from the additional JSON files without retraining. No specific file or test is named in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100