Instructions to use juierror/flan-t5-text2sql-with-schema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/flan-t5-text2sql-with-schema with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juierror/flan-t5-text2sql-with-schema") model = AutoModelForSeq2SeqLM.from_pretrained("juierror/flan-t5-text2sql-with-schema", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.fbcdf53
-
Update README.md
2f00d2e
-
Update README.md
f9acf52
-
Update README.md
7a8a1f3
-
Update README.md (#2)
- Update README.md (91ed14cb1c48db588c156e3dbaa7b58101df7448) Co-authored-by: pgzmnk <pgzmnk@users.noreply.huggingface.co>5db884f
-
Create README.md
4124a85 -
Upload tokenizer
fface4a -
Upload T5ForConditionalGeneration
7f03cb8 -
initial commit
12710e2