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
- Xet hash:
- 1b7c6d4a5ce37f985d9d93507ef66198d18d010a59d69590b05d8598aa26350a
- Size of remote file:
- 242 MB
- SHA256:
- 5188df55c060e0c08050219d0113a679f03c08243f7d4a501c0dfbb760d8c7de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.