Instructions to use deep20998/sqlcoder-7b-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deep20998/sqlcoder-7b-2-v1 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, "deep20998/sqlcoder-7b-2-v1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from deep20998/sqlcoder-7b-2-v1: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://deep20998/sqlcoder-7b-2-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- b45b19746cb889d4683e3efe17b4ceedeb7facf0840663b9765bed8a31392399
- Size of remote file:
- 5.3 kB
- SHA256:
- 95b8c78850e8b2e0f5a995b0e3fbe844cda7496abf4df264619729594ad14f54
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