Instructions to use paulo037/StableCode-text2SQL-schemaReduzidoTabelas-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulo037/StableCode-text2SQL-schemaReduzidoTabelas-Q8_0-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("paulo037/StableCode-text2SQL-schemaReduzidoTabelas-Q8_0-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
base_model: lleticiasilvaa/StableCode-text2SQL-schemaReduzidoTabelas
library_name: transformers
model_name: StableCode-text2SQL-schemaReduzidoTabelas
tags:
- generated_from_trainer
- trl
- sft
- llama-cpp
- gguf-my-lora
licence: license
paulo037/StableCode-text2SQL-schemaReduzidoTabelas-Q8_0-GGUF
This LoRA adapter was converted to GGUF format from lleticiasilvaa/StableCode-text2SQL-schemaReduzidoTabelas via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora StableCode-text2SQL-schemaReduzidoTabelas-q8_0.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora StableCode-text2SQL-schemaReduzidoTabelas-q8_0.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.