Instructions to use fastmodeller/text2sql-t5-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fastmodeller/text2sql-t5-3b with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fastmodeller/text2sql-t5-3b") model = AutoModelForSeq2SeqLM.from_pretrained("fastmodeller/text2sql-t5-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e583b54d89421a46707f6a2cfbe26d01609659307731b9c8d0777e3c96df0de
- Size of remote file:
- 11.4 GB
- SHA256:
- 279292136815dec7af7196a3e9ccda05279a07c5f3e6a5b8f338321e145c46f0
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