Instructions to use shuvankar77/sqlcoder-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "shuvankar77/sqlcoder-2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/sqlcoder-2: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/shuvankar77/sqlcoder-2/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder-2/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- f8a0f15c5d285501bda81ea1ae64a86e7f73cb3cd301a65f65c8ff1b0b089ff9
- Size of remote file:
- 5.56 kB
- SHA256:
- 2d3e13b63724e7905caa5e2861cd1e4352a3e990b7d5c391b6be450b2f7d1890
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