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:
- b738b123ce6d9013f68e642faef7bb8286e8fc65ab3c66b3bdb455b64bd7e70e
- Size of remote file:
- 5.05 kB
- SHA256:
- e28b28c4b7aea7c3c6c3f8eb3c68d60a1d31831607bfdea25cae0e0e9a3aa6b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.