Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use TeeA/Text2SQL-Bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/Text2SQL-Bilingual with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TeeA/Text2SQL-Bilingual") model = AutoModelForSeq2SeqLM.from_pretrained("TeeA/Text2SQL-Bilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c5e7c0af4507232d367106127914ba3e4a7b008e5198c4b817a4c4ee697f882
- Size of remote file:
- 5.05 kB
- SHA256:
- 44027028d9929134cc519b51a19d20111ca2577ae16a670dde3af14201be6cd6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.