Instructions to use TeeA/T5-Text2SQL-Bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/T5-Text2SQL-Bilingual with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TeeA/T5-Text2SQL-Bilingual") model = AutoModelForSeq2SeqLM.from_pretrained("TeeA/T5-Text2SQL-Bilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from TeeA/T5-Text2SQL-Bilingual: direct link, hf CLI and curl.
- Browser
- Download file 283 MB
-
https://huggingface.co/TeeA/T5-Text2SQL-Bilingual/resolve/main/model.safetensors
- Command line
-
hf download hf://TeeA/T5-Text2SQL-Bilingual/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/TeeA/T5-Text2SQL-Bilingual/resolve/main/model.safetensors
283 MB
- Xet hash:
- 22f955e1e0a962f24bc58098cf436a4c2ef7f064ba4ad20428a7c2da8f126f90
- Size of remote file:
- 283 MB
- SHA256:
- d2220baf5ef6450e7d69294bd31e5fa86ab8edb37805e8e1edac9b176a778ecd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.