from farm.modeling.tokenization import Tokenizer
from farm.modeling.language_model import LanguageModel
from farm.file_utils import download_from_s3

# download model (if no custom cache_dir is supplied => we use FARM default cache dir, i.e. ~/.cache/torch/farm on Linux)
remote_model_path = "s3://your_bucket/bert-base-german-cased/"
local_model_path = download_from_s3(s3_url=remote_model_path, cache_dir=None)

# load components as usual
tokenizer = Tokenizer.load(local_model_path)
language_model = LanguageModel.load(local_model_path)