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:
- f0641e02113434c77d148ad2abaa192b42c7ff7ff4b06a9c4cf4107e25c45d73
- Size of remote file:
- 1.8 GB
- SHA256:
- a4b876724d15f4a6a92f568fb65139202bb5cdd31ee4747df35ce7bbcc4aa850
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