Feature Extraction
Transformers
Safetensors
English
qwen2
text-generation-inference
unsloth
text-embeddings-inference
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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded finetuned model
- Developed by: jinesh90
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2.5-Coder-7B-bnb-4bit
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for jinesh90/qwen2.5-coder-sql-generator
Base model
Qwen/Qwen2.5-7B Finetuned
Qwen/Qwen2.5-Coder-7B Quantized
unsloth/Qwen2.5-Coder-7B-bnb-4bit