Instructions to use Partha11/qwen2.5_coder_7B_instruct_sql_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Partha11/qwen2.5_coder_7B_instruct_sql_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Partha11/qwen2.5_coder_7B_instruct_sql_lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Partha11/qwen2.5_coder_7B_instruct_sql_lora 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 Partha11/qwen2.5_coder_7B_instruct_sql_lora 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 Partha11/qwen2.5_coder_7B_instruct_sql_lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Partha11/qwen2.5_coder_7B_instruct_sql_lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Partha11/qwen2.5_coder_7B_instruct_sql_lora", max_seq_length=2048, )
- Xet hash:
- b1d2e151971e31a98aac2b07de30470c0042eed7c966c9876ed8dad6c1aeaffa
- Size of remote file:
- 323 MB
- SHA256:
- 92b4d3311553c961921505419b9fe01b5411625e9c8bcfb45b7ff7c7d5931a34
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