Add pipeline tag and library name

This PR adds the `pipeline_tag` and `library_name` to the model card metadata. This will improve discoverability of the model on the Hugging Face Hub. The `text-generation` pipeline tag is appropriate given the model's function as a Large Language Model. The `transformers` library is specified because the model's configuration and tokenizer files are in the standard Transformers format.

README.md

@@ -1,8 +1,10 @@
 ---
-license: apache-2.0
 language:
 - it
 - en
+license: apache-2.0
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # Mistral-7B-v0.1-Italian-SAVA
@@ -14,7 +16,7 @@ language:
 
 The **Mistral-7B-v0.1-Adapted** collection of large language models (LLMs), is a collection of adapted generative models in 7B (text in/text out), adapted models from **Mistral-7B-Base-v0.1**.
 
-*Mistral-v0.1-Italian-SAVA* is a continual trained mistral model, after tokenizer substitution.
+*Mistral-v0.1-Italian-SAVA* is a continually trained Mistral model, after tokenizer substitution.
 
 The tokenizer of this models after adaptation is the same of [Minverva-3B](https://huggingface.co/sapienzanlp/Minerva-3B-base-v1.0).
 
@@ -32,7 +34,7 @@ The data are extracted to be skewed toward Italian language with a ration of one
 
 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