Hosting nlp models in one line
Once the model is trained, we want to verify our model as quickly as possible. nlp2go provides a CLI interface and Restful api that allows you to quickly deploy model to everyone.
There are many additional features :
- Support loading multiple models at a time.
- Provide input format checking.
- You can also load models in python code.
- Flexible handling of parameters so that parameter can be changed in each prediction.
- Support huggingface transformers’s model
- There are models in the Model Hub for you to try
Learn more from the docs.
pip install nlp2go
nlp2go --model model_path
- create a json file as below:
{
"API1_PATH": {
"model": "model1_path"
},
"API2_PATH": {
"model": "model2_path"
}
}
- run
nlp2go --json json_file_path
You can also try nlp2go in Google Colab:
Thanks for your interest.There are many ways to contribute to this project. Get started here.
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