Update README.md

README.md

@@ -209,6 +209,8 @@ base_model: meta-llama/llama-3.2-3B-Instruct
 
 # staedi/coref-llama-3.2
 
+Coreference Resolution fine-tuned model with `mlx-lm` (Base model: `meta-llama/llama-3.2-3B-Instruct`).
+
 This model [staedi/coref-llama-3.2](https://huggingface.co/staedi/coref-llama-3.2) was
 converted to MLX format from [meta-llama/llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/llama-3.2-3B-Instruct)
 using mlx-lm version **0.26.2**.
@@ -221,16 +223,20 @@ pip install mlx-lm
 
 ```python
 from mlx_lm import load, generate
-
-model, tokenizer = load("staedi/coref-llama-3.2")
-
-prompt = "hello"
-
+# Load model with adapter
+model, tokenizer = load("staedi/gemma-3-coref")
+# Text to resolve coreferences in
+text = "Apple announced its earnings. The company performed well."
+# Create prompt
+prompt = (
+    "Resolve allcoreferences in the following text by replacing pronouns and "
+    "descriptive references with their original entities. Maintain the same "
+    "meaning and structure while making all references explicit: \n " + text
+)
 if tokenizer.chat_template is not None:
-    messages = [{"role": "user", "content": prompt}]
+    messages = [{'role':'user','content':prompt}]
     prompt = tokenizer.apply_chat_template(
         messages, add_generation_prompt=True
     )
-
 response = generate(model, tokenizer, prompt=prompt, verbose=True)
-```
+```