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README.md

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+# EuroLLM-Classifier-QLoRA
+
+This repository contains a German binary sentence classifier fine-tuned on top of **EuroLLM** using **QLoRA**.
+
+## Task
+
+The model classifies utterances into two categories:
+
+- `ADVANCE`: Contributions that move the conversation forward (e.g., confirmations, suggestions, answers).
+- `NON_ADVANCE`: Utterances that do not advance the dialogue (e.g., misunderstandings, clarifications, hesitation).
+
+## Base Model
+
+The base model used is: `utter-project/EuroLLM-9B-Instruct`
+
+## How to Use
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from peft import PeftModel, PeftConfig
+
+peft_config = PeftConfig.from_pretrained("MB55/EuroLLM-Classifier-QLoRA")
+base_model = AutoModelForSequenceClassification.from_pretrained(peft_config.base_model_name_or_path)
+model = PeftModel.from_pretrained(base_model, "MB55/EuroLLM-Classifier-QLoRA")
+tokenizer = AutoTokenizer.from_pretrained("MB55/EuroLLM-Classifier-QLoRA")