Instructions to use pardeephck/dynamicsqlgenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pardeephck/dynamicsqlgenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pardeephck/dynamicsqlgenerator") model = AutoModelForSeq2SeqLM.from_pretrained("pardeephck/dynamicsqlgenerator") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3477c7c42090b0e2972a3fdfe9acbb18487205cabbeeceaa559d33e49ae4dd7
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size 891699345
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