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
Add `library_name` to metadata
#1
by nielsr HF Staff - opened
This PR adds library_name: transformers to the model card metadata. The model's config file indicates a Transformers-compatible architecture (MultiModalityCausalLM) and includes transformers_version, so this metadata is appropriate. No other content changes are needed since the model card already contains the paper, project page, code links, and relevant sections.
PulYong changed pull request status to merged
Add library_name to the model card