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") - 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, )
File size: 1,579 Bytes
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"architectures": [
"Qwen2Model"
],
"attention_dropout": 0.0,
"bos_token_id": null,
"torch_dtype": "bfloat16",
"eos_token_id": 151643,
"hidden_act": "silu",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 18944,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"pad_token_id": 151665,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": false,
"unsloth_fixed": true,
"unsloth_version": "2026.3.4",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 152064
} |