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 tokenizer_config.json from GeWu-Lab/Gestalt: direct link, hf CLI and curl.
- Browser
- Download file 221 Bytes
-
https://huggingface.co/GeWu-Lab/Gestalt/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://GeWu-Lab/Gestalt@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/GeWu-Lab/Gestalt/resolve/refs%2Fpr%2F1/tokenizer_config.json
221 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<padding>", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |