Instructions to use kbhugging/autonlp-text2sql-18413376 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbhugging/autonlp-text2sql-18413376 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kbhugging/autonlp-text2sql-18413376") model = AutoModelForSeq2SeqLM.from_pretrained("kbhugging/autonlp-text2sql-18413376") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a08119fbd3f0fbbbb05cd51ad80cc21ab4336e0dd82f00b5f8e009fbd36dad7e
- Size of remote file:
- 892 MB
- SHA256:
- 36598161468750be9dd916f737f9f49a3228bd465d4a036ff70a4f3623be12a3
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