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
File size: 615 Bytes
03426f9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | --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 |