Any-to-Any
Transformers
Safetensors
gestalt
multimodal
discrete-diffusion
vision-language
unified-model
custom_code
Instructions to use GeWu-Lab/Gestalt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeWu-Lab/Gestalt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import GestaltModelLM model = GestaltModelLM.from_pretrained("GeWu-Lab/Gestalt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download assets/method.png from GeWu-Lab/Gestalt: direct link, hf CLI and curl.
- Browser
- Download file 213 kB
-
https://huggingface.co/GeWu-Lab/Gestalt/resolve/main/assets/method.png
- Command line
-
hf download hf://GeWu-Lab/Gestalt/assets/method.png
-
curl -L -o method.png https://huggingface.co/GeWu-Lab/Gestalt/resolve/main/assets/method.png
213 kB

- Xet hash:
- 12dc61416f4320cfe858e5f7430f43f8877c945bd8a2391129bfa6c6382611ca
- Size of remote file:
- 213 kB
- SHA256:
- 5b45f76359055e8db75229409fcde59ecdea8fa166fd8ad732dd13b983b8088c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.