Instructions to use akashmaggon/llam-3.1-text-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akashmaggon/llam-3.1-text-sql with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("akashmaggon/llam-3.1-text-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from akashmaggon/llam-3.1-text-sql: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/akashmaggon/llam-3.1-text-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://akashmaggon/llam-3.1-text-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/akashmaggon/llam-3.1-text-sql/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- d0cecff437d89c0d0fc498ccbfae337c698e7e84dc39a20e25f97cf877b947a8
- Size of remote file:
- 5.56 kB
- SHA256:
- 09f86e125d5e27b831d9211b00ea337b34fee1d8a3801598ffd90e25df790047
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