Instructions to use dima806/t5-base-wiki2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/t5-base-wiki2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dima806/t5-base-wiki2sql") model = AutoModelForSeq2SeqLM.from_pretrained("dima806/t5-base-wiki2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a14fd125599e77bd6d0ecac515967cbb38a2e66ca89438fcc535ff9bb2cb91d
- Size of remote file:
- 892 MB
- SHA256:
- 81a716aa5acbda0d6aac8cba99bf928487004ea6314d91cd51cc29a65ba6303a
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