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("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:
- de8a67af56ecddf48f027b87ab3ac42df143d9a5ef8102963a770389eb63f8db
- Size of remote file:
- 1.48 MB
- SHA256:
- f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
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