Update README.md

README.md

@@ -3,12 +3,15 @@ language:
 - pt
 metrics:
 - accuracy
+- f1
+- pearsonr
 base_model:
 - Qwen/Qwen2.5-7B
 pipeline_tag: text-generation
 library_name: transformers
 tags:
 - text-generation-inference
+license: apache-2.0
 ---
 
 ###  Amadeus-Verbo-Qwen2.5-7B-PT-BR-Instruct
@@ -38,7 +41,7 @@ KeyError: 'qwen2'
 Below, we have provided a simple example of how to load the model and generate text:
 
 #### Quickstart 
-The following code snippet uses apply_chat_template to show how to load the tokenizer, the model, and how to generate content.
+The following code snippet uses `pipeline`, `AutoTokenizer`, `AutoModelForCausalLM` and apply_chat_template to show how to load the tokenizer, the model, and how to generate content.
 
 Using the pipeline:
 ```python
@@ -50,8 +53,7 @@ messages = [
 pipe = pipeline("text-generation", model="amadeusai/qwen2.5-7B-PT-BR-Instruct")
 pipe(messages)
 ```
-
-The following code snippet uses `AutoTokenizer`, `AutoModelForCausalLM` and apply_chat_template to show how to load the tokenizer, the model, and how to generate content.
+OR
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer