Transformers
Safetensors
t5
text2text-generation
text2sql
natural-language-to-sql
spider-dataset
text-generation-inference
Instructions to use osllmai/text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osllmai/text-to-sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("osllmai/text-to-sql") model = AutoModelForSeq2SeqLM.from_pretrained("osllmai/text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c0ef5dcf6ba0d28ef0a50aed388731c759384cdef2a2a4770a4990bb3d26eef
- Size of remote file:
- 242 MB
- SHA256:
- df122fa24fb05e57260b5809b5c6a6670f9b1808a1d4dae4b28befe50b6ba93a
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