PyThaiNLP / PyThaiNLP/pythainlp
Porting model to ONNX model
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Hacktoberfest
refactoring
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 304
- Avg merge
- 2d 2h
- Merged PRs (30d)
- 11
Description
In the next time, I think we should porting pythainlp model to onnx model. For onnx model, It's model standard to other framework and It can use OS framework to inference model.
Contributor guide
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 identifying which PyThaiNLP model is intended and how its current inference path works. Define the ONNX export and cross-framework inference requirements, then validate that the ONNX model produces equivalent results before considering the work done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100