Add `library_name: transformers` to metadata

This PR improves the model card by adding the `library_name: transformers` metadata tag. This will enable the automated "How to use" widget on the Hugging Face Hub, providing users with a quick and easy way to interact with the model using the `transformers` library.

The model's compatibility with the `transformers` library is confirmed by the `config.json` (specifying `"model_type": "gpt2"` and `"architectures": ["GPT2LMHeadModel"]`) and `tokenizer_config.json` (specifying `"tokenizer_class": "GPT2Tokenizer"`) files.

README.md

@@ -1,17 +1,17 @@
 ---
-license: apache-2.0
+base_model:
+- openai-community/gpt2-large
 datasets:
 - databricks/databricks-dolly-15k
 language:
 - en
+license: apache-2.0
 metrics:
 - rouge
-base_model:
-- openai-community/gpt2-large
 pipeline_tag: text-generation
+library_name: transformers
 ---
 
-
 # MiniLLM-gpt2-760M
 
 [paper](https://arxiv.org/abs/2306.08543) | [code](https://github.com/microsoft/LMOps/tree/main/minillm)