Instructions to use Neupane9Sujal/sql_like with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neupane9Sujal/sql_like with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Neupane9Sujal/sql_like") model = AutoModelForSeq2SeqLM.from_pretrained("Neupane9Sujal/sql_like", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea750a775c3b8ed184deb469ddac06abbd65f7cb581b771a8d8df89efe9bcbb3
- Size of remote file:
- 558 MB
- SHA256:
- c2d00278612b532e26fda1c504be31c4f48ddbbeb79b95bc638757ba0ff6b46e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.