Huggingface validation error

[lmallin]

I've installed the PhenoTagger v1.2 and installed dependencies but when I try to run either the example data set or my own, I get the following error:

[src]$ python PhenoTagger_tagging.py -i ../example/input/ -o ../example/output/
I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Num GPUs Available: 0
loading dict!
Dic_len: 51201
load dic done!
Traceback (most recent call last):
File "/mnt/data1/resources/PhenoTagger-1.2/src/PhenoTagger_tagging.py", line 278, in
phenotagger_tag(args.infolder,para_set,args.outfolder)
File "/mnt/data1/resources/PhenoTagger-1.2/src/PhenoTagger_tagging.py", line 213, in phenotagger_tag
nn_model=bioTag_BERT(vocabfiles)
File "/mnt/data1/resources/PhenoTagger-1.2/src/nn_model.py", line 110, in init
self.rep = BERT_RepresentationLayer(self.checkpoint_path, self.label_file, lowercase=self.lowercase)
File "/mnt/data1/resources/PhenoTagger-1.2/src/nn_represent.py", line 217, in init
self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_name_or_path, use_fast=True,do_lower_case=lowercase)
File "/mnt/data1/resources/PhenoTagger-1.2/phenotagger_venv/lib64/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 643, in from_pretrained
tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)
File "/mnt/data1/resources/PhenoTagger-1.2/phenotagger_venv/lib64/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 487, in get_tokenizer_config
resolved_config_file = cached_file(
File "/mnt/data1/resources/PhenoTagger-1.2/phenotagger_venv/lib64/python3.9/site-packages/transformers/utils/hub.py", line 417, in cached_file
resolved_file = hf_hub_download(
File "/mnt/data1/resources/PhenoTagger-1.2/phenotagger_venv/lib64/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
validate_repo_id(arg_value)
File "/mnt/data1/resources/PhenoTagger-1.2/phenotagger_venv/lib64/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '../models/bioformer-cased-v1.0/'. Use repo_type argument if needed.

Any ideas on how to fix this issue?
Thanks,
Lucy