Robotics
Transformers
Safetensors
qwen2
text-generation
cnc
gcode
spatial-reasoning
qwen
text-generation-inference
Instructions to use vanishingradient/Instruct2GCode-Qwen2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vanishingradient/Instruct2GCode-Qwen2.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("vanishingradient/Instruct2GCode-Qwen2.5") model = AutoModelForCausalLM.from_pretrained("vanishingradient/Instruct2GCode-Qwen2.5") - Notebooks
- Google Colab
- Kaggle
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## ⚠️ Limitations & Safety
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- **Experimental Only:** This model generates physical toolpaths. If executed on a real CNC machine without simulation routing, it **may crash your spindle** or cause hardware damage.
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## ⚠️ Limitations & Safety
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- **Experimental Only:** This model generates physical toolpaths. If executed on a real CNC machine without simulation routing, it **may crash your spindle** or cause hardware damage.
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