Add pipeline tag and library name

This PR adds the missing `pipeline_tag` and `library_name` to the model card metadata. The `pipeline_tag` is set to `text-generation` as the model is a large language model performing text generation tasks. The `library_name` is set to `transformers` as indicated by the provided code example.

README.md

@@ -1,8 +1,10 @@
 ---
-license: apache-2.0
 language:
 - it
 - en
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # Llama-3.1-8B-Italian-LAPT
@@ -14,7 +16,7 @@ language:
 
 The **Llama-3.1-8B-Adapted** collection of large language models (LLMs), is a collection of adapted generative models in 8B (text in/text out), adapted models from **Llama-3.1-8B**.
 
-*Llama-3.1-8B-Italian-LAPT* is a continual trained mistral model.
+*Llama-3.1-8B-Italian-LAPT* is a continually trained Mistral model.
 
 **Model developer:** SapienzaNLP, ISTI-CNR, ILC-CNR
 
@@ -22,15 +24,15 @@ The **Llama-3.1-8B-Adapted** collection of large language models (LLMs), is a co
 
 ## Data used for the adaptation
 
-The **Mistral-7B-v0.1-Adapted** model are trained on a collection of Italian and English data extracted from [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX).
-The data are extracted to be skewed toward Italian language with a ration of one over four. Extracting the first 9B tokens from Italian part of CulturaX and the first 3B tokens from English part of CulturaX.
+The **Mistral-7B-v0.1-Adapted** model is trained on a collection of Italian and English data extracted from [CulturaX](https://huggingface.co/datasets/uonlp/CulturaX).
+The data are extracted to be skewed toward Italian language with a ratio of one over four. Extracting the first 9B tokens from the Italian part of CulturaX and the first 3B tokens from the English part of CulturaX.
 
 
 ## Use with Transformers
 
 You can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function.
 
-Make sure to update your transformers installation via pip install --upgrade transformers.
+Make sure to update your transformers installation via `pip install --upgrade transformers`.
 
 ```python
 import transformers