Instructions to use text2font/text2svg_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use text2font/text2svg_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("text2font/text2svg_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("text2font/text2svg_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d07ba8d4cb833c29e1c6a72f41a2047eebb4209b2bec877a35f865e62e54c143
- Size of remote file:
- 4.41 kB
- SHA256:
- f359896fee9c63b2475aac88fce1a22d43df65f6e40ac7a46e2f43d77f9c2e46
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