Instructions to use Krsna444/text2sql-hinglish-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Krsna444/text2sql-hinglish-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Krsna444/text2sql-hinglish-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoints/checkpoint-453/optimizer.pt from Krsna444/text2sql-hinglish-lora: direct link, hf CLI and curl.
- Browser
- Download file 61.4 MB
-
https://huggingface.co/Krsna444/text2sql-hinglish-lora/resolve/main/checkpoints/checkpoint-453/optimizer.pt
- Command line
-
hf download hf://Krsna444/text2sql-hinglish-lora/checkpoints/checkpoint-453/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Krsna444/text2sql-hinglish-lora/resolve/main/checkpoints/checkpoint-453/optimizer.pt
61.4 MB
- Xet hash:
- b0cb1fe268790a885594a0bdca24c1eb4edb013ddeb2ea67ed48cfdbaed74309
- Size of remote file:
- 61.4 MB
- SHA256:
- 963feaa71ffc36a83a43e41547b20cc69391ace744bd68d5f9add51b21b9ea20
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