Transformers
Safetensors
English
hev
diffusion
hydra
state-space-model
system-one
decision-model
calibrated
jev
typed-decisions
custom_code
Eval Results
Instructions to use EryriLabs/DiffusionGemma-26B-A4B-Hev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EryriLabs/DiffusionGemma-26B-A4B-Hev with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EryriLabs/DiffusionGemma-26B-A4B-Hev", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00007-of-00011.safetensors from EryriLabs/DiffusionGemma-26B-A4B-Hev: direct link, hf CLI and curl.
- Browser
- Download file 4.91 GB
-
https://huggingface.co/EryriLabs/DiffusionGemma-26B-A4B-Hev/resolve/main/model-00007-of-00011.safetensors
- Command line
-
hf download hf://EryriLabs/DiffusionGemma-26B-A4B-Hev/model-00007-of-00011.safetensors
-
curl -L -o model-00007-of-00011.safetensors https://huggingface.co/EryriLabs/DiffusionGemma-26B-A4B-Hev/resolve/main/model-00007-of-00011.safetensors
4.91 GB
- Xet hash:
- cdeb6f3d278162730ebffb2f8c7d0970562ef3aabfca80672db0470b61df61b2
- Size of remote file:
- 4.91 GB
- SHA256:
- 13a18b3c04a7f19a16385dd8a0d7fd0b9cc89ef131e4294a063c31c7d90c58ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.