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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47fc5ea8168b2b85f28e4f49d2dcd2fffa18634b763c1b2eef22340eb5ba81c9
- Size of remote file:
- 892 MB
- SHA256:
- 7521785c77f77eac95a0a7a05cc40085d7bdfc363e594619a3bfa8ed9cb3b287
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