Instructions to use radu-matei/text2sql-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radu-matei/text2sql-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("radu-matei/text2sql-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("radu-matei/text2sql-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from radu-matei/text2sql-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/radu-matei/text2sql-t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://radu-matei/text2sql-t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/radu-matei/text2sql-t5-base/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 59169bce8fa837e0046c29538f2ac08a6d30ed8f14d347b63e59e11d24a9f190
- Size of remote file:
- 892 MB
- SHA256:
- da59872e1e51362303d49005eea603a68a046d34c1c9d0265a6ac3da35c8f37d
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