update pipeline tag

README.md

@@ -1,7 +1,7 @@
 ---
 language:
 - en
-pipeline_tag: image-to-text
+pipeline_tag: image-text-to-text
 inference: false
 arxiv: 2304.08485
 license: llama2
@@ -51,7 +51,7 @@ pipe = pipeline("image-to-text", model=model_id)
 url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/ai2d-demo.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
 
-# Define a chat histiry and use `apply_chat_template` to get correctly formatted prompt
+# Define a chat history and use `apply_chat_template` to get correctly formatted prompt
 # Each value in "content" has to be a list of dicts with types ("text", "image") 
 conversation = [
     {
@@ -90,7 +90,7 @@ model = LlavaForConditionalGeneration.from_pretrained(
 
 processor = AutoProcessor.from_pretrained(model_id)
 
-# Define a chat histiry and use `apply_chat_template` to get correctly formatted prompt
+# Define a chat history and use `apply_chat_template` to get correctly formatted prompt
 # Each value in "content" has to be a list of dicts with types ("text", "image") 
 conversation = [
     {