Add pipeline tag, library name, paper link, and basic description

README.md

@@ -1,3 +1,23 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+pipeline_tag: image-text-to-text
+library_name: transformers
+---
+
+# DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding
+
+This model is presented in the paper [DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding](https://huggingface.co/papers/2408.15045). DocLayLLM is designed for text-rich document understanding, integrating visual patch tokens and 2D positional tokens into LLMs to enhance their document comprehension and OCR information perception.
+
+## How to Use
+
+A more complete usage example will be added when available. For now, a basic example:
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="your_model_id")  # replace your_model_id
+result = pipe("Your input text here.")
+print(result)
+```
+
+Replace `"your_model_id"` with the actual Hugging Face model ID.