Instructions to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lleticiasilvaa/StableCode-text2SQL-withoutquantization2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lleticiasilvaa/StableCode-text2SQL-withoutquantization2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1750/training_args.bin from lleticiasilvaa/StableCode-text2SQL-withoutquantization2: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/f1555ac884d105dc8d659b4959e6c3a74027fc96/checkpoint-1750/training_args.bin
- Command line
-
hf download hf://lleticiasilvaa/StableCode-text2SQL-withoutquantization2@f1555ac884d105dc8d659b4959e6c3a74027fc96/checkpoint-1750/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lleticiasilvaa/StableCode-text2SQL-withoutquantization2/resolve/f1555ac884d105dc8d659b4959e6c3a74027fc96/checkpoint-1750/training_args.bin
5.56 kB
- Xet hash:
- 89191aa60684a38f3f834083894d49354aef9b35806f1a1f5004f5eaf57cc40b
- Size of remote file:
- 5.56 kB
- SHA256:
- 7edc42963610754e4ce962caf69cdfc91e067cfb5cb9681a9b07452e8345de11
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