Text-to-Image
Transformers
Safetensors
multi_modality
image-generation
multimodal
unified-model
janus
reasoning
FiRe
Instructions to use KU-AGI/FiRe-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KU-AGI/FiRe-SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("KU-AGI/FiRe-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KU-AGI/FiRe-SFT: direct link, hf CLI and curl.
- Browser
- Download file 7.61 MB
-
https://huggingface.co/KU-AGI/FiRe-SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://KU-AGI/FiRe-SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KU-AGI/FiRe-SFT/resolve/main/tokenizer.json
7.61 MB
File too large to display, you can check the raw version instead.