deve

app.py

@@ -96,7 +96,7 @@ def fine_tune_model(model, dataset_name, hub_id, api_key, num_epochs, batch_size
             #print("Loading model from checkpoint...")
             #model = AutoModelForSeq2SeqLM.from_pretrained(training_args.output_dir)        
     
-        tokenizer = AutoTokenizer.from_pretrained('google/t5-efficient-tiny', use_fast=True)
+        tokenizer = AutoTokenizer.from_pretrained('google/t5-efficient-tiny', use_fast=True, trust_remote_code=True)
     
         #max_length = model.get_input_embeddings().weight.shape[0]
         max_length = 512