Instructions to use lleticiasilvaa/StableCode-text2SQL-withoutquantization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-withoutquantization with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1300/training_args.bin from lleticiasilvaa/StableCode-text2SQL-withoutquantization: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/e7c681b9d15439fa274cd561ee4e272e726e043a/checkpoint-1300/training_args.bin
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization@e7c681b9d15439fa274cd561ee4e272e726e043a/checkpoint-1300/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization/resolve/e7c681b9d15439fa274cd561ee4e272e726e043a/checkpoint-1300/training_args.bin
5.56 kB
- Xet hash:
- a7caa05f4fa0ecbda56b6046d7c928f9ae87441b5572380f2e362552bb4d79f8
- Size of remote file:
- 5.56 kB
- SHA256:
- 46e1466ed2149747ea423bccc6a6a88751298249aadd814253f24c4866932058
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