NLU customization for Arabic language

Yes, I mean like this. I have tried the following combination, but I think there is an error when using asafaya/bert-base-arabic.

version: "2.0"
language: ar
pipeline:
  - name: WhitespaceTokenizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: LanguageModelFeaturizer
    model_name: "bert"
    model_weights: "rasa/LaBSE"
  - name: DIETClassifier
    epochs: 200
  - name: FallbackClassifier
    threshold: 0.7
  - name: DucklingEntityExtractor
    url: http://localhost:8000
    dimensions:
    - time
    - number
  - name: EntitySynonymMapper

I put the problem on another post, I did that before your reply and maybe it is a different question. In case you want to check, here it is: Problem when using transformer in NLU pipeline