Instructions to use mehmet1899/llama32-3b-instruct-nl2sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmet1899/llama32-3b-instruct-nl2sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "mehmet1899/llama32-3b-instruct-nl2sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94292c94cfc4295b94f046b638ee748b55c66438a9b4adace8c0547945fa0c97
- Size of remote file:
- 48.7 MB
- SHA256:
- fcd4241f7a2e8e0388f13f0dd9517486cbee43fc3169c983a54e7b716c0e502d
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