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)# pip install -U transformers accelerate # 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
Download model-00002-of-00004.safetensors from SJY-1995/GeoTikzBridge-Base-8B: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/model-00002-of-00004.safetensors
- Command line
-
hf download hf://SJY-1995/GeoTikzBridge-Base-8B/model-00002-of-00004.safetensors
-
curl -L -o model-00002-of-00004.safetensors https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/model-00002-of-00004.safetensors
4.92 GB
- Xet hash:
- fa1bd46b957b486c7b6ba2b07fb7382326bda1ef0fd88a66ffc4407d5716df2d
- Size of remote file:
- 4.92 GB
- SHA256:
- da2ac8ef53a817a49b68b0bae5e64ed2415773e73b715433bcb6985158eadbdf
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