Update README.md

README.md

@@ -1,19 +1,30 @@
 ---
 license: mit
 datasets:
-- FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset-Binary
+- Silly-Machine/TuPy-Dataset
 language:
 - pt
-metrics:
-- accuracy
-- precision
-- recall
-- f1
+
 pipeline_tag: text-classification
 base_model: neuralmind/bert-base-portuguese-cased
-base_dataset: FpOliveira/TuPi-Portuguese-Hate-Speech-Dataset-Binary
 widget:
 - text: 'Bom dia, flor do dia!!'
+
+model-index:
+  - name: Yi-34B
+    results:
+      - task:
+          type: text-generation
+        dataset:
+          name: ai2_arc
+          type: ai2_arc
+        metrics:
+          - name: AI2 Reasoning Challenge (25-Shot)
+            type: AI2 Reasoning Challenge (25-Shot)
+            value: 64.59
+        source:
+          name: Open LLM Leaderboard
+          url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
 ---
 
 ## Introduction
@@ -62,7 +73,7 @@ def classify_hate_speech(model_name, text):
         print(f"{i + 1}) Label: {label} Score: {score:.4f}")
 
 # Example usage
-model_name = "FpOliveira/tupi-bert-base-portuguese-cased"
+model_name = "Silly-Machine/TuPy-Bert-Large-Multilabel"
 text = "Bom dia, flor do dia!!"
 classify_hate_speech(model_name, text)