Delete model.py

model.py

@@ -1,18 +0,0 @@
-from transformers import ViltProcessor, ViltForQuestionAnswering
-from PIL import Image
-
-# 470MB
-processor = ViltProcessor.from_pretrained("dandelin/vilt-b32-finetuned-vqa")
-model = ViltForQuestionAnswering.from_pretrained("dandelin/vilt-b32-finetuned-vqa", cache_dir="new_cache_dir/")
-
-
-def model_pipeline(text: str, image: Image):
-    # prepare inputs
-    encoding = processor(image, text, return_tensors="pt")
-
-    # forward pass
-    outputs = model(**encoding)
-    logits = outputs.logits
-    idx = logits.argmax(-1).item()
-
-    return  model.config.id2label[idx]