Instructions to use radu-matei/text2sql-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radu-matei/text2sql-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("radu-matei/text2sql-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("radu-matei/text2sql-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
3a860a5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
size 791656
|