Text-to-3D
Transformers
Safetensors
qwen2_5_vl
image-text-to-text
3d
multimodal
image-to-3d
3d-understanding
octree
text-generation-inference
Instructions to use Plurato123/OctLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plurato123/OctLLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Plurato123/OctLLM") model = AutoModelForMultimodalLM.from_pretrained("Plurato123/OctLLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Plurato123/OctLLM: direct link, hf CLI and curl.
- Browser
- Download file 11.5 MB
-
https://huggingface.co/Plurato123/OctLLM/resolve/main/tokenizer.json
- Command line
-
hf download hf://Plurato123/OctLLM/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Plurato123/OctLLM/resolve/main/tokenizer.json
11.5 MB
- Xet hash:
- 98b4444477687bc4a886e446bc7ff0f55bdfc9992698b8dfcaf2e891cca87cbc
- Size of remote file:
- 11.5 MB
- SHA256:
- eaee272dbda30cea2a4ad4116d024536f4db9ddafecb638c09db0f89576f5402
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