Instructions to use dsivakumar/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsivakumar/text2sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dsivakumar/text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("dsivakumar/text2sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dsivakumar/text2sql: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/dsivakumar/text2sql/resolve/fa45a489fc81f20d2f0a6e2eea7efe5c0797c193/pytorch_model.bin
- Command line
-
hf download hf://dsivakumar/text2sql@fa45a489fc81f20d2f0a6e2eea7efe5c0797c193/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dsivakumar/text2sql/resolve/fa45a489fc81f20d2f0a6e2eea7efe5c0797c193/pytorch_model.bin
242 MB
- Xet hash:
- 91fb741984a12942f71e5a425735d95991b5f6583a722007cea3fa8ac8a6385a
- Size of remote file:
- 242 MB
- SHA256:
- 50521568c30df64b8b90723f80aad1ec985a0bab9cdad6c0be9bd9094540acc6
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