Instructions to use pain/text2svg_summarization-words-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pain/text2svg_summarization-words-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pain/text2svg_summarization-words-test") model = AutoModelForSeq2SeqLM.from_pretrained("pain/text2svg_summarization-words-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba87655688c4a875cd5ee6b933c991eeaf7fcbeae74cce626ada99445be11c85
- Size of remote file:
- 1.32 GB
- SHA256:
- 70457e4bb7cbef98040beb144bcf31a0a4fbec5ad543ef3290d0a6c142c2a22d
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