Instructions to use radu-matei/text2sql-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use radu-matei/text2sql-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("radu-matei/text2sql-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("radu-matei/text2sql-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from radu-matei/text2sql-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 27 Bytes
-
https://huggingface.co/radu-matei/text2sql-t5-base/resolve/main/added_tokens.json
- Command line
-
hf download hf://radu-matei/text2sql-t5-base/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/radu-matei/text2sql-t5-base/resolve/main/added_tokens.json
27 Bytes
| {" <": 32101, " <=": 32100} |