1.0.1

README.md

@@ -1,3 +1,17 @@
----
-license: mit
----
+---
+license: mit
+---
+This model is a test for educational proposits.
+
+To use:
+
+from transformers import pipeline
+
+classifier = pipeline("sentiment-analysis", model="./model", tokenizer="./model")
+
+# Exemplo de texto para classificação
+texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very bad!"]
+results = classifier(texts)
+
+for text, result in zip(texts, results):
+    print(f"Text: {text}\nPrediction: {result}\n")