Feature Extraction
Transformers
Safetensors
internvl_chat
multimodal
vision-language
code-generation
tikz
geometric-reasoning
computer-vision
cvpr2026
internvl
internlm2
custom_code
Eval Results (legacy)
Instructions to use SJY-1995/GeoTikzBridge-Base-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SJY-1995/GeoTikzBridge-Base-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SJY-1995/GeoTikzBridge-Base-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SJY-1995/GeoTikzBridge-Base-8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35ef8869bc03bf8b9c2d7eb571b57531b4d8a9852684d2b4d615a2c143ca1e4d
- Size of remote file:
- 7.03 kB
- SHA256:
- 40a715548b644799fd10e8b977501ecd5fc84973552f2bf35e5f392a510d4c5f
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