Instructions to use Dejavu2021/T5-model-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dejavu2021/T5-model-text2sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dejavu2021/T5-model-text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("Dejavu2021/T5-model-text2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Dejavu2021/T5-model-text2sql: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Dejavu2021/T5-model-text2sql/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Dejavu2021/T5-model-text2sql/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Dejavu2021/T5-model-text2sql/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- c5e91766067a53011ffa3c9540ea2619fabe4aa280afc4df92dbf4eb298b8d2a
- Size of remote file:
- 892 MB
- SHA256:
- dd1780fc1f9becf5a91cc73f72a8b6e782b006a26e2d586c3cc233eb54167414
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