Instructions to use vvn/Text_to_SQL_BART_spider-three-ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vvn/Text_to_SQL_BART_spider-three-ep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vvn/Text_to_SQL_BART_spider-three-ep") model = AutoModelForSeq2SeqLM.from_pretrained("vvn/Text_to_SQL_BART_spider-three-ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f947907407246c47d5de8cb57b6efdc113ef7fef0cd42318138e7aee57755b4b
- Size of remote file:
- 1.63 GB
- SHA256:
- 91f20bbee7c5fb77a613dc1c0f8ab36720bfe7e165a72083705d7fc1718601e4
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