Tokenizer load error

[distributedFan]

I got the error show:

Traceback (most recent call last):
File "train.py", line 94, in
student=config.create_student(nocrf=args.nocrf)
File "D:\KB-NER-main\flair\config_parser.py", line 240, in create_student
return self.create_model(self.config,pretrained=self.load_pretrained(self.config), is_student=True)
File "D:\KB-NER-main\flair\config_parser.py", line 193, in create_model
embeddings, word_map, char_map, lemma_map, postag_map=self.create_embeddings(config['embeddings'])
File "D:\KB-NER-main\flair\config_parser.py", line 168, in create_embeddings
embedding_list.append(getattr(Embeddings,embedding.split('-')[0])(**embeddings[embedding]))
File "D:\KB-NER-main\flair\embeddings.py", line 2951, in init
self.tokenizer = AutoTokenizer.from_pretrained(model)
File "C:\Users\RichardFan\anaconda3\envs\adaseq\lib\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 "C:\Users\RichardFan\anaconda3\envs\adaseq\lib\site-packages\transformers\models\auto\tokenization_auto.py", line 487, in get_tokenizer_config
resolved_config_file = cached_file(
File "C:\Users\RichardFan\anaconda3\envs\adaseq\lib\site-packages\transformers\utils\hub.py", line 417, in cached_file
resolved_file = hf_hub_download(
File "C:\Users\RichardFan\anaconda3\envs\adaseq\lib\site-packages\huggingface_hub\utils_validators.py", line 110, in _inner_fn
validate_repo_id(arg_value)
File "C:\Users\RichardFan\anaconda3\envs\adaseq\lib\site-packages\huggingface_hub\utils_validators.py", line 158, in validate_repo_id
raise HFValidationError(
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'resources/taggers/xlmr-large-pretuned-tuned-wiki-first_3epoch_1batch_4accumulate_0.000005lr_10000lrrate_multi_monolingual_crf_fast_norelearn_sentbatch_sentloss_withdev_finetune_saving_amz_doc_wiki_v3_10upsample_addmix_ner23/xlm-roberta-large'. Use repo_type argument if needed.