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:
- 99abd821c3aaf7bb46a81cb0c9cfe95f6d19582a8724fdb230d322e9d8542a63
- Size of remote file:
- 4.92 GB
- SHA256:
- 4989358d1df6f230542de2759719594ac18c6c625f1c43a9580ab63e9487251f
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