Metadata-Version: 2.1
Name: simplexfmrartifact
Version: 0.0.12
Summary: BentoML artifact framework for simpletransformers
Home-page: https://github.com/markmo/simplexfmrartifact
Author: Mark Moloney
Author-email: m4rkmo@gmail.com
License: UNKNOWN
Description: # simplexfmrartifact
        
        BentoML artifact framework for simpletransformers.
        
        Installation:
        
            pip install simplexfmrartifact
        
        Usage example (decorate service):
        
            from simplexfmrartifact.simpletransformers import SimpleTransformersModelArtifact
        
            @artifacts([SimpleTransformersModelArtifact('tm_train3_roberta_l_weigh')])
            class MyBentoService(BentoService):
        
        
        Usage example (package model):
        
            svc = MyBentoService()
        
            metadata = {
                "classpackage": "simpletransformers.classification", 
                "classname": "ClassificationModel", 
                "opts": {
                    "use_cuda": true, 
                    "num_labels": 2, 
                    "args": {
                        "use_multiprocessing": false, 
                        "silent": true, 
                        "eval_batch_size": 10, 
                        "fp16": false
                    }
                }
            }
        
            svc.pack(model_name, model_path, metadata)
        
        Alternatively, during training:
        
            svc.pack({'model': my_trained_model, 'model_opts': metadata})
        
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
