Issue with incorporating BERT in RASA Pipeline - chatbot

Question

BERT provides an option to include pre-trained language models from Hugging Face in pipline. As per the doc:
- name: HFTransformersNLP
# Name of the language model to use
model_name: "bert"
# Pre-Trained weights to be loaded
model_weights: "bert-base-uncased"
# An optional path to a specific directory to download and cache the pre-trained model weights.
# The `default` cache_dir is the same as https://huggingface.co/transformers/serialization.html#cache-directory .
cache_dir: null
Following this I configured my pipeline as:
- name: "HFTransformersNLP"
# Name of the language model to use
model_name: "bert"
# Pre-Trained weights to be loaded
model_weights: "bert-base-uncased"
cache_dir: "C:/Project ABC/cache/"
But the problem is that on running the training steps, the model keeps failing with:
OSError: Model name 'bert-base-uncased' was not found in tokenizers
model name list (bert-base-uncased, bert-large-uncased,
bert-base-cased, bert-large-cased, bert-base-multilingual-uncased,
bert-base-multilingual-cased, bert-base-chinese,
bert-base-german-cased, bert-large-uncased-whole-word-masking,
bert-large-cased-whole-word-masking,
bert-large-uncased-whole-word-masking-finetuned-squad,
bert-large-cased-whole-word-masking-finetuned-squad,
bert-base-cased-finetuned-mrpc, bert-base-german-dbmdz-cased,
bert-base-german-dbmdz-uncased, bert-base-finnish-cased-v1,
bert-base-finnish-uncased-v1, bert-base-dutch-cased). We assumed
'bert-base-uncased' was a path, a model identifier, or url to a
directory containing vocabulary files named ['vocab.txt'] but couldn't
find such vocabulary files at this path or url.
I did some research and it looks like that there might be issue in downloading the files from internet, so I manually downloaded the files config.json, pytorch_model.bin and placed it in C:/Project ABC/cache/ still I am getting the same error message. Any idea how to resolve this, not giving cache directory is failing too with the same error.