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:
# 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
- Xet hash:
- f413cdcea39d84ea6beb79e527ff4090ce0affc94515e952208b3bbf70ea9852
- Size of remote file:
- 892 MB
- SHA256:
- 8604f8d2c39ad95b961c8aaa1cef7b858b0be84f33fd2be49201a27ee5c1c7bf
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