Instructions to use jinesh90/qwen2.5-coder-sql-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jinesh90/qwen2.5-coder-sql-generator with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="jinesh90/qwen2.5-coder-sql-generator")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("jinesh90/qwen2.5-coder-sql-generator")
model = AutoModel.from_pretrained("jinesh90/qwen2.5-coder-sql-generator")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use jinesh90/qwen2.5-coder-sql-generator 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 jinesh90/qwen2.5-coder-sql-generator 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 jinesh90/qwen2.5-coder-sql-generator to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for jinesh90/qwen2.5-coder-sql-generator to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="jinesh90/qwen2.5-coder-sql-generator",
    max_seq_length=2048,
)

qwen2.5-coder-sql-generator / tokenizer.json

Commit History

(Trained with Unsloth)

d671ead
verified

jinesh90 commited on Mar 16

Commit History

(Trained with Unsloth) d671ead verified

(Trained with Unsloth)

d671ead
verified