Image Feature Extraction
Transformers
Safetensors
internvl_chat
multimodal
vision-language
code-generation
tikz
geometric-reasoning
computer-vision
cvpr2026
internvl
internlm2
instruction-tuning
custom_code
Eval Results (legacy)
Instructions to use SJY-1995/GeoTikzBridge-Instruct-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SJY-1995/GeoTikzBridge-Instruct-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="SJY-1995/GeoTikzBridge-Instruct-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SJY-1995/GeoTikzBridge-Instruct-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0c6bf08326f396bc36f9d7c816d68fc049463fd7caaa6fa35d3ff94f37ba7af
- Size of remote file:
- 16 kB
- SHA256:
- 10de21a4e27593ff923bf6a764c5b2ac9ccfd7c7b04323ae9e660c655814e4ad
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