Instructions to use parkervg/destt5-text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parkervg/destt5-text2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("parkervg/destt5-text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("parkervg/destt5-text2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cf65f7f0519d91700f3b9def19ecbe7271bb144f1557a348c6ab0465c5dec29
- Size of remote file:
- 2.16 MB
- SHA256:
- 6a287b31b2d1dbec4a9cc01341afdc5f561b3e6227e862dff8d2c089259f1e0e
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