Instructions to use Sumitp/Text_to_SQL_BART_sumit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumitp/Text_to_SQL_BART_sumit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sumitp/Text_to_SQL_BART_sumit") model = AutoModelForSeq2SeqLM.from_pretrained("Sumitp/Text_to_SQL_BART_sumit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db8bbbca15b816947b3545efb4c31417b6864f7a4e7673e4c64d3aca406c960c
- Size of remote file:
- 1.63 GB
- SHA256:
- e9a5b9d0f57ba125cfd4ee1bce0d2b24637abcaf7e931817f329017fcbff6029
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