Metadata-Version: 2.1
Name: qandaxfmrartifact
Version: 0.0.8
Summary: BentoML artifact framework for Q&A Transformers
Home-page: https://github.com/markmo/qandaxfmrartifact
Author: Mark Moloney
Author-email: m4rkmo@gmail.com
License: UNKNOWN
Description: # qandaxfmrartifact
        
        BentoML artifact framework for Q&A Transformers.
        
        Installation:
        
            pip install qandaxfmrartifact==0.0.1
        
        Usage example (decorate service):
        
            from qandaxfmrartifact.QandaTransformersModelArtifact import QandaTransformersModelArtifact
        
            @artifacts([QandaTransformersModelArtifact('albert')])
            class MyBentoService(BentoService):
        
        
        Usage example (package model):
        
            svc = MyBentoService()
        
            opts = {
                'embedder_model_path': my_embedder_model_path,
            }
        
            svc.pack('albert', my_transformer_model_path, opts)
        
        Alternatively, during training:
        
            svc.pack('albert', {'model': my_trained_model, 'tokenizer': my_tokenizer, 'embedder': my_embedder})
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
