Update README.md

README.md

@@ -5,10 +5,12 @@ license: apache-2.0
 tags:
 - trl
 - sft
-- generated_from_trainer
 model-index:
 - name: merlinite-sql-7b-thai-instructlab
   results: []
+language:
+- th
+pipeline_tag: text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,6 +24,38 @@ This model is a fine-tuned version of [instructlab/merlinite-7b-lab](https://hug
 
 More information needed
 
+## How to Use
+installing dependencies
+```bash
+!pip install -qU transformers accelerate
+```
+
+To implement the model
+```python
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+question = "คะแนนความสามารถทางการเงินสูงสุดสำหรับลูกค้าในแอฟริกาในปี 2022 คือเท่าใด \nHere is a Table: CREATE TABLE financial_capability (id INT, customer_name VARCHAR(50), region VARCHAR(50), score INT, year INT); INSERT INTO financial_capability (id, customer_name, region, score, year) VALUES (1, 'Thabo', 'Africa', 9, 2022), (2, 'Amina', 'Africa', 8, 2022);"
+
+model = "Pavarissy/merlinite-sql-7b-thai-instructlab"
+messages = [{"role": "user",
+             "content": f"{question}"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+     "text-generation",
+     model=model,
+     torch_dtype=torch.float16,
+     device_map="auto",
+)
+
+# this is model generation part
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
 ## Intended uses & limitations
 
 More information needed