Instructions to use vincentoh/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vincentoh/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "vincentoh/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vincentoh/code-llama-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/vincentoh/code-llama-7b-text-to-sql/resolve/main/training_args.bin
- Command line
-
hf download hf://vincentoh/code-llama-7b-text-to-sql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vincentoh/code-llama-7b-text-to-sql/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- b76deb2f8cc17581aa9ee364dae699a363c1a5ecaf3cffaeacbdebc9f387d947
- Size of remote file:
- 4.73 kB
- SHA256:
- cdfcca0fec9f74fe3ab4a970a0a56441052e2a7d86ee98d8382bc2392ec208bd
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