Text Generation
PEFT
Safetensors
Indonesian
nl2sql
text-to-sql
indonesian
sql
qlora
unsloth
conversational
Instructions to use qrizan/nl2sql-id-qlora-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qrizan/nl2sql-id-qlora-3b 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, "qrizan/nl2sql-id-qlora-3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use qrizan/nl2sql-id-qlora-3b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for qrizan/nl2sql-id-qlora-3b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for qrizan/nl2sql-id-qlora-3b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for qrizan/nl2sql-id-qlora-3b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="qrizan/nl2sql-id-qlora-3b", max_seq_length=2048, )
- Xet hash:
- a89b77ee9138bec09a43e48026e45c02b4a9b7477ab95e73351cb2f2ffa0e260
- Size of remote file:
- 11.4 MB
- SHA256:
- 74c07efaa790daf8616f06983670fe6a398cdd8f855b43d0ae374c99d7a2c66f
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