Instructions to use aravindhank/dq-bert-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aravindhank/dq-bert-text2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aravindhank/dq-bert-text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("aravindhank/dq-bert-text2sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73988f531a7389a3531a81932239329473202e10d9a2242ab4bb1ebcf812869a
- Size of remote file:
- 284 MB
- SHA256:
- 39a6b33fb4015060f4eb5a6030ac79667594c30c8390bcdc655d3b63b11a21a7
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