Instructions to use Calligrapher2025/Calligrapher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Calligrapher2025/Calligrapher with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Calligrapher2025/Calligrapher", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card metadata: pipeline tag and library_name
#1
by nielsr HF Staff - opened
This PR improves the model card by updating the pipeline_tag to text-to-image for better discoverability, accurately reflecting the model's text-guided image customization capabilities. It also adds library_name: transformers to the metadata, as the model utilizes a transformers-based image encoder (google/siglip-so400m-patch14-384).
Calligrapher2025 changed pull request status to merged
Thanks for your suggestions!