Video-Text-to-Text
Transformers
Safetensors
qwen2_vl_bev
text-generation
llama-factory
full
Generated from Trainer
spatial-intelligence
3d-vision
Instructions to use Spacewanderer8263/Proxy3D-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Spacewanderer8263/Proxy3D-8B with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Spacewanderer8263/Proxy3D-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.