add usage

README.md

@@ -58,4 +58,64 @@ The following hyperparameters were used during training:
 - Transformers 4.40.0
 - Pytorch 2.2.0+cu121
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1
+
+
+
+### Usage
+
+```python
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "tyfeng1997/llama3-8b-instruct-text-to-sql"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+
+
+messages = [
+    {"role": "system", "content": "You are an text to SQL query translator. Users will ask you questions in English and you will generate a SQL query based on the provided SCHEMA.\nSCHEMA:\nCREATE TABLE match_season (College VARCHAR, POSITION VARCHAR)"},
+    {"role": "user", "content": "Which college have both players with position midfielder and players with position defender?"},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=256,
+    eos_token_id=terminators,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0]
+print(tokenizer.decode(response, skip_special_tokens=True))
+
+#
+#system
+#You are an text to SQL query translator. Users will ask you questions in English and you will generate a SQL query based on the provided SCHEMA.
+#SCHEMA:
+#CREATE TABLE match_season (College VARCHAR, POSITION VARCHAR)
+#user
+#Which college have both players with position midfielder and players with position defender?
+#assistant
+#SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"
+#
+```
+