Instructions to use pramodkaushik/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 pramodkaushik/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, "pramodkaushik/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5276a105c1c60785d4d06f00dc3f01ed1d703bca6e2d9bcd0442e5fd639fcfc
- Size of remote file:
- 4.79 kB
- SHA256:
- c209881a18c5d5c23465aa565f2bab9e2704a960f25bf9a856b50b95ad74ce91
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