update

modules/model.py

@@ -2,8 +2,8 @@ import torch
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from seqeval.metrics.sequence_labeling import get_entities
 
-tokenizer = AutoTokenizer.from_pretrained("VampeeHuntee/xlm-roberta-base_baseline_syllables", use_fast = False)
-model = AutoModelForTokenClassification.from_pretrained("VampeeHuntee/xlm-roberta-base_baseline_syllables")
+tokenizer = AutoTokenizer.from_pretrained("./model", use_fast = False)
+model = AutoModelForTokenClassification.from_pretrained("./model")
 
 def get_words(tokens:list[str]):
     return tokenizer.convert_tokens_to_string(tokens)