Instructions to use tejas1206/llama3.2_text2sql_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tejas1206/llama3.2_text2sql_finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tejas1206/llama3.2_text2sql_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from tejas1206/llama3.2_text2sql_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/tejas1206/llama3.2_text2sql_finetuned/resolve/main/training_args.bin
- Command line
-
hf download hf://tejas1206/llama3.2_text2sql_finetuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tejas1206/llama3.2_text2sql_finetuned/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- 2ba790cc8ccdce53837cea856e9a3766d53ad5eebcd8ac971da6ebd1ca00b79c
- Size of remote file:
- 6.16 kB
- SHA256:
- 171f0bbacb3c2c43240b77a26e00832e1148d39d17bccc8de42fcb037438e448
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