Prueba6

orderIA.py

@@ -17,7 +17,7 @@ dataset = Dataset.from_pandas(df)
 # Tokenizar los datos
 # Carga del tokenizador
 
-tokenizer = BertTokenizerFast.from_pretrained("bert-base-multilingual-cased")
+tokenizer = BertTokenizerFast.from_pretrained("Sebastian2903/SMARTORDERIA")
 #tokenizer = AutoTokenizer.from_pretrained("bert-base-multilingual-cased")
 
 def preprocess_function(examples):
@@ -31,7 +31,7 @@ train_dataset = train_test_split['train']
 eval_dataset = train_test_split['test']
 
 # Configurar el modelo
-model = AutoModelForSequenceClassification.from_pretrained("bert-base-multilingual-cased", num_labels=4)
+model = AutoModelForSequenceClassification.from_pretrained("Sebastian2903/SMARTORDERIA", num_labels=4)
 
 # Configurar el entrenador
 training_args = TrainingArguments(