Instructions to use ViditRaj/BART-finetuned-Text2SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViditRaj/BART-finetuned-Text2SQL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ViditRaj/BART-finetuned-Text2SQL") model = AutoModelForSeq2SeqLM.from_pretrained("ViditRaj/BART-finetuned-Text2SQL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dc82490d40e3c1055f91c1564405edd70153d9f51f6d09016e637e66456b1aa
- Size of remote file:
- 1.63 GB
- SHA256:
- 0e382d6cafb61d4411f4473476ea7c78a03dec3083c7f9baec3a803016409295
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