Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

jinesh90
/
qwen2.5-coder-sql-generator

Feature Extraction
Transformers
Safetensors
English
qwen2
text-generation-inference
unsloth
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    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
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
jinesh90's picture
jinesh90
(Trained with Unsloth)
4255410 verified about 2 months ago
  • .gitattributes
    1.57 kB
    (Trained with Unsloth) about 2 months ago
  • README.md
    591 Bytes
    Unsloth Model Card about 2 months ago
  • chat_template.jinja
    2.51 kB
    (Trained with Unsloth) about 2 months ago
  • config.json
    1.58 kB
    (Trained with Unsloth) about 2 months ago
  • model-00001-of-00004.safetensors
    4.88 GB
    xet
    (Trained with Unsloth) about 2 months ago
  • model-00002-of-00004.safetensors
    4.93 GB
    xet
    (Trained with Unsloth) about 2 months ago
  • model-00003-of-00004.safetensors
    4.33 GB
    xet
    (Trained with Unsloth) about 2 months ago
  • model-00004-of-00004.safetensors
    1.09 GB
    xet
    (Trained with Unsloth) about 2 months ago
  • model.safetensors.index.json
    27.8 kB
    (Trained with Unsloth) about 2 months ago
  • tokenizer.json
    11.4 MB
    xet
    (Trained with Unsloth) about 2 months ago
  • tokenizer_config.json
    3.05 kB
    (Trained with Unsloth) about 2 months ago