Instructions to use Srish117/T5-SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Srish117/T5-SQL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Srish117/T5-SQL") model = AutoModelForSeq2SeqLM.from_pretrained("Srish117/T5-SQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Srish117/T5-SQL: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Srish117/T5-SQL/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Srish117/T5-SQL/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Srish117/T5-SQL/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- ddecdf45c143ca63bf77745badc2a253539ebffb7ac8d3341f76a62ba75e751a
- Size of remote file:
- 990 MB
- SHA256:
- 299732dab2cddac5afde77b6651259331942b4830b051fd41ac4bf25d9f69e2a
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