Update README.md

README.md

@@ -5,4 +5,17 @@ metrics:
 - code_eval
 - accuracy
 - bertscore
----
+---
+
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+irony_name = "raquiba/sarcasm-detection-BanglaSARC"
+tokenizer_irony = AutoTokenizer.from_pretrained(irony_name)
+model_irony = AutoModelForSequenceClassification.from_pretrained(irony_name)
+irony_pipeline = pipeline("sentiment-analysis", model=model_irony, tokenizer=tokenizer_irony, device=0,max_length=512, padding=True, truncation=True)
+
+#Model Evaluation
+tokenizer = AutoTokenizer.from_pretrained(irony_name)
+df_train, df_test = tokenized_data(df_eval)
+model_irony = AutoModelForSequenceClassification.from_pretrained(irony_name, num_labels=2, ignore_mismatched_sizes=True).to(device)
+training_args = TrainingArguments("test-trainer-banglaBERT", {'reprocess_input_data': True}, evaluation_strategy="epoch")
+trainer_irony.train()