Update README.md

README.md

@@ -1,3 +1,16 @@
+---
+license: apache-2.0
+datasets:
+- Phonepadith/laos_word_dataset
+language:
+- lo
+metrics:
+- bleu
+base_model:
+- google/gemma-3-4b-it
+pipeline_tag: summarization
+library_name: fastai
+---
 # 🧠 Lao Summarization Model - Fine-tuned Gemma 3 4B IT
 
 This is a **Lao language summarization model** fine-tuned on the [`Phonepadith/laos_word_dataset`](https://huggingface.co/datasets/Phonepadith/laos_word_dataset), using the base model [`google/gemma-3-4b-it`](https://huggingface.co/google/gemma-3-4b-it). The model is designed to generate concise summaries from Lao language text.
@@ -28,6 +41,7 @@ This is a **Lao language summarization model** fine-tuned on the [`Phonepadith/l
 You can load and use the model with Hugging Face Transformers and `adapter-transformers`:
 
 ```python
+
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 model_id = "Phonepadith/lao-gemma-summarizer"  # change to your actual model name
@@ -39,4 +53,4 @@ inputs = tokenizer(input_text, return_tensors="pt")
 summary_ids = model.generate(**inputs, max_new_tokens=100)
 summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
 
-print(summary)
+print(summary)