Instructions to use bstds/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bstds/text2sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bstds/text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("bstds/text2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (817e3aec773aee878a5bbfc5ecb12af6c6a82cd3) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b9d3238
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Upload tokenizer
c4c0bba -
Upload T5ForConditionalGeneration
4e72aa4 -
initial commit
0862df2