Instructions to use Dani0604/proyecto3-text2sql-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dani0604/proyecto3-text2sql-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "Dani0604/proyecto3-text2sql-qlora") - Notebooks
- Google Colab
- Kaggle
Download selection.json from Dani0604/proyecto3-text2sql-qlora: direct link, hf CLI and curl.
- Browser
- Download file 247 Bytes
-
https://huggingface.co/Dani0604/proyecto3-text2sql-qlora/resolve/main/selection.json
- Command line
-
hf download hf://Dani0604/proyecto3-text2sql-qlora/selection.json
-
curl -L -o selection.json https://huggingface.co/Dani0604/proyecto3-text2sql-qlora/resolve/main/selection.json
247 Bytes
| { | |
| "selected_run": "qlora_r32", | |
| "selection_basis": "menor latencia p95 tras empate en EX y ejecutabilidad", | |
| "adapter_weight": "adapter_model.safetensors", | |
| "sha256": "d3126183a092521cb1feffb9424b188552d27bb8fc4b51a8d13a1348d89016f1" | |
| } | |