          output_path=model_save_path)
Loading Custom SentenceTransformer Models
Loading trained models is easy. You can specify a path:
python
model = SentenceTransformer('./my/path/to/model/')
Note: It is important that a / or \ is present in the path, otherwise, it is not recognized as a path.
You can also host the training output on a server and download it:
 python
model = SentenceTransformer('http://www.server.com/path/to/model/my_model.zip')
With the first call, the model is downloaded and stored in the local torch cache-folder (~/.cache/torch/sentence_transformers). In order to work, you must zip all files and subfolders of your model. 
Multitask Training
This code allows multi-task learning with training data from different datasets and with different loss-functions. For an example, see training_multi-task.py.
