DeepPavlov error loading the model from Tensorflow (from_tf=True) - python-3.8

Question

I'm trying to load the ruBERT model into Deeppavlov as follows:
#is a dict
config_path = {
"chainer": {
"in": [
"x"
],
"in_y": [
"y"
],
"out": [
"y_pred_labels",
"y_pred_probas"
],
"pipe": [
...
}
}
model = build_model(config_path, download=False)
At the same time, I have all the files of the original ruBERT model locally. However, an error throws when building the model:
OSError: Error no file named pytorch_model.bin found in directory ruBERT_hFace2 but there is a file for TensorFlow weights. Use `from_tf=True` to load this model from those weights.
At the same time, there is nowhere a clear explanation of how to pass this parameter through the build_model function.
How to pass this parameter across build_model correctly?
UPDATE 1
At the moment, the version of Deep Pavlov 1.0.2 is installed.
The checkpoint of the model consists of following files:

Answer 1

Currently there is no way to pass any parameter via build_model. In case of additional parameter you should align the configuration file accordingly. Alternatively you can change it via Python code.
from deeppavlov import build_model, configs, evaluate_model
from deeppavlov.core.commands.utils import parse_config
config = parse_config(f"config.json")
...
model = build_model(config, download=True, install=True)
But first please make sure that you are using the latest version of DeepPavlov. In addition please take a look at out recent article on Medium. If you need a further assistance please provide more details.