Instructions to use dsivakumar/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsivakumar/text2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dsivakumar/text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("dsivakumar/text2sql") - Notebooks
- Google Colab
- Kaggle
Commit ·
1165f91
1
Parent(s): 3f716e0
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
-
language: ar # <-- my language
|
| 2 |
widget:
|
| 3 |
-
|
|
|
|
|
|
|
| 4 |
#import transformers
|
| 5 |
|
| 6 |
from transformers import (
|
|
|
|
|
|
|
| 1 |
widget:
|
| 2 |
+
- text: ""English to SQL: Show me the average age of of wines in Italy by provinces"
|
| 3 |
+
example_title: "Text to SQL"
|
| 4 |
+
|
| 5 |
#import transformers
|
| 6 |
|
| 7 |
from transformers import (
|