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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This Hugging Face repository contains:
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- **`calligrapher.bin`**: Pre-trained Calligrapher model weights.
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- **`Calligrapher_bench_testing`**: Comprehensive test dataset with examples for both self-reference and cross-reference customization scenarios with additional reference images for testing, omitting a small portion of samples due to IP concerns.
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This Hugging Face repository contains:
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- **`calligrapher.bin`**: Pre-trained Calligrapher model weights.
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- **`Calligrapher_bench_testing.zip`**: Comprehensive test dataset with examples for both self-reference and cross-reference customization scenarios with additional reference images for testing, omitting a small portion of samples due to IP concerns.
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