Metadata-Version: 2.1
Name: soco-encoders
Version: 0.2.9.2
Summary: Neural encoders for embedding diverse objects
Home-page: https://www.soco.ai
Author: tianchez
License: UNKNOWN
Description: # Encoders
        A library of neural encoders to convert any types of data into embeddings, dense or sparse. 
        
        
        ## Build a package
            python setup.py bdist_wheel
            twine upload dist/*
        
        ## Use Locally
            model = EncoderLoader.load_model('pretrain-models', <model_id>, use_gpu=True, region='cn')
            model.encode(['I am a good man'], show_progress_bar=True, batch_size=batch_size,)
        
        ## Use as RESTful API
        Start a server
            
            uvicorn soco_encoders.http.main:app --host 0.0.0.0 --port 8000 --workers 4
        
        Start a client
        
            res = requests.post(url='http://localhost:8000/encoder/v1/encode',
                                  json={
                                      "model_id": model_id,
                                      "text": [x1] * batch_size,
                                      'batch_size': batch_size,
                                      "mode": "default",
                                      "kwargs": {}
                                  })
        
        ## Use as GRPC API
        Start a server
            
            python -m soco_encoders.grpc.server --host 0.0.0.0 --port 8000 --workers 4
            
        Start a client
               
               check out example in bench_grpc.py
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: Free for non-commercial use
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
