Instructions to use text2font/text2svg_summarization-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use text2font/text2svg_summarization-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("text2font/text2svg_summarization-2") model = AutoModelForSeq2SeqLM.from_pretrained("text2font/text2svg_summarization-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c5f255d270371e72bd642449759b17b5557a7f90cc3355e7124f785e1bd8a55
- Size of remote file:
- 4.41 kB
- SHA256:
- d68df231715e5a47b66c5ebe8633c945aedeca845d8b46c0a2d6bf844ac6e436
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