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--- |
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library_name: transformers |
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datasets: |
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- webnlg/challenge-2023 |
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--- |
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# Model Card for Model ID |
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T5-XL seq2seq model trained on WebNLG dataset |
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# Use |
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```python |
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from typing import List, Tuple |
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from transformers import pipeline |
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def prepare_text(triplets: List[Tuple[str, str, str]]): |
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graph = "[graph]" |
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for triplet in triplets: |
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graph += f"[head] {triplet[0]} [relation] {triplet[1]} [tail] {triplet[2]} " |
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graph += "[text]</s>" |
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return graph |
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g2t_model = pipeline(task="text2text-generation", model="s-nlp/g2t-t5-xl-webnlg") |
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graph = prepare_text([ |
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("London", "capital_of", "United Kingdom"), |
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("London", "population", "8,799,728") |
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]) |
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g2t_model(graph) |
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# [{'generated_text': 'London is the capital of the United Kingdom and has a population of 8,799,7'}] |
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``` |
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