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 generation_config.json from SJY-1995/GeoTikzBridge-Base-8B: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/generation_config.json
- Command line
-
hf download hf://SJY-1995/GeoTikzBridge-Base-8B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/SJY-1995/GeoTikzBridge-Base-8B/resolve/main/generation_config.json
115 Bytes
| { | |
| "_from_model_config": true, | |
| "eos_token_id": [ | |
| 92542, | |
| 92543 | |
| ], | |
| "transformers_version": "4.37.2" | |
| } | |