Other
Transformers
Safetensors
PyTorch
English
vision-language-action
humanoid-robotics
telepathy
multimodal
robotics-control
lora
Instructions to use Veltraxor/Sigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Veltraxor/Sigma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Veltraxor/Sigma", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| --index-url https://download.pytorch.org/whl/cu121 | |
| --extra-index-url https://pypi.org/simple | |
| torch==2.5.1+cu121 | |
| torchvision==0.20.1+cu121 | |
| transformers==4.44.2 | |
| accelerate==1.10.1 | |
| peft==0.17.0 | |
| safetensors==0.4.5 | |
| huggingface_hub[cli,hf-transfer]==0.35.3 | |
| datasets==4.1.1 | |
| sentencepiece==0.2.0 | |
| einops==0.8.0 | |
| bitsandbytes==0.43.3 | |
| numpy==2.0.2 | |
| pandas==2.2.3 | |
| pyarrow==21.0.0 | |
| tqdm==4.66.5 | |
| opencv-python-headless==4.10.0.84 | |
| pillow==10.4.0 | |
| av==15.1.0 | |
| imageio==2.36.0 | |
| imageio-ffmpeg==0.5.1 | |
| hydra-core==1.3.2 | |
| omegaconf==2.3.0 | |
| pyyaml==6.0.2 | |
| packaging==24.2 | |
| python-dotenv==1.0.1 | |
| wandb==0.21.1 | |