Update README.md
Browse files
README.md
CHANGED
|
@@ -13,4 +13,28 @@ tags:
|
|
| 13 |
|
| 14 |
|
| 15 |
# 1.Usage:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
|
| 15 |
# 1.Usage:
|
| 16 |
+
```python
|
| 17 |
+
# Use a pipeline as a high-level helper
|
| 18 |
+
from transformers import pipeline
|
| 19 |
+
import torch
|
| 20 |
+
model_id = "xbrain/text2sql-8b-instruct-v1"
|
| 21 |
|
| 22 |
+
|
| 23 |
+
messages = [
|
| 24 |
+
{"role": "system",
|
| 25 |
+
"content": "I want you to act as a SQL terminal in front of an example database, you need only to return the sql command to me.Below is an instruction that describes a task, Write a response that appropriately completes the request.\n\"\n##Instruction:\n database contains tables such as table_name_30. Table table_name_30 has columns such as nfl_team, draft_year."},
|
| 26 |
+
{"role": "user",
|
| 27 |
+
"content": "###Input:\nIn 1978 what is the NFL team?\n\n###Response:"},
|
| 28 |
+
]
|
| 29 |
+
pipe_msg = pipeline(
|
| 30 |
+
"text-generation",
|
| 31 |
+
model=model_id,
|
| 32 |
+
model_kwargs={"torch_dtype": torch.bfloat16},
|
| 33 |
+
device_map="auto",)
|
| 34 |
+
|
| 35 |
+
outputs = pipe_msg(
|
| 36 |
+
messages,
|
| 37 |
+
max_new_tokens=256,
|
| 38 |
+
)
|
| 39 |
+
print(outputs[0]["generated_text"][-1])
|
| 40 |
+
```
|