Instructions to use Sumitp/Text_to_SQL_BART_sumit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumitp/Text_to_SQL_BART_sumit1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sumitp/Text_to_SQL_BART_sumit1") model = AutoModelForSeq2SeqLM.from_pretrained("Sumitp/Text_to_SQL_BART_sumit1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44a4e141a30de5cb77fc49ac1ac7feb8693acd10478bc3b6db7d5f8a72de562b
- Size of remote file:
- 1.63 GB
- SHA256:
- 6bef3269f271b3c6477188d56240cad3162299c49b2d831178c0aec6986f71ab
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