Instructions to use analyticalmonk/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 analyticalmonk/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, "analyticalmonk/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a73ce8446cece4ab3012bc9f5232f39e545a6ad1fb9efab2d88a7927dbd4630
- Size of remote file:
- 4.73 kB
- SHA256:
- 34891ccbcb3a774f84cb20bb88db7dc1642afe8463ff238be1262131f370eb3a
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