Instructions to use leonardsouza/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 leonardsouza/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "leonardsouza/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d565df60b705fbb41b53e490c0b8e7adc5294149c2e5297de1655b4244a0f36
- Size of remote file:
- 4.73 kB
- SHA256:
- 1ed20696b9731c63ae9d7e8cc7bf304479f5c3ec29a4cdf15b036d093c285277
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