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:
- 7a06b29f2670d8a9653138264196f4b3cd697ad5b22af01e5bc8a55b38a82946
- Size of remote file:
- 283 MB
- SHA256:
- 6bc340175e4d4077759a0c64138802304312a2e0b992a687df488a7403edc058
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.