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 added_tokens.json from SJY-1995/GeoTikzBridge-Base-8B: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/added_tokens.json
- Command line
-
hf download hf://SJY-1995/GeoTikzBridge-Base-8B/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/added_tokens.json
279 Bytes
| { | |
| "</box>": 92552, | |
| "</img>": 92545, | |
| "</quad>": 92548, | |
| "</ref>": 92550, | |
| "<IMG_CONTEXT>": 92546, | |
| "<box>": 92551, | |
| "<img>": 92544, | |
| "<quad>": 92547, | |
| "<ref>": 92549, | |
| "<|/execution|>": 92556, | |
| "<|/python|>": 92554, | |
| "<|execution|>": 92555, | |
| "<|python|>": 92553 | |
| } | |