Instructions to use tejas1206/llama3.2_text2sql_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tejas1206/llama3.2_text2sql_finetuned with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tejas1206/llama3.2_text2sql_finetuned", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use tejas1206/llama3.2_text2sql_finetuned 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 tejas1206/llama3.2_text2sql_finetuned 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 tejas1206/llama3.2_text2sql_finetuned to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tejas1206/llama3.2_text2sql_finetuned to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="tejas1206/llama3.2_text2sql_finetuned",
    max_seq_length=2048,
)

llama3.2_text2sql_finetuned / tokenizer_config.json

Commit History

Training in progress, step 2500

8cea5f5
verified

tejas1206 commited on Aug 8, 2025

Commit History

Training in progress, step 2500 8cea5f5 verified

Training in progress, step 2500

8cea5f5
verified