Other
Transformers
Safetensors
English
Russian
t5
text2text-generation
text-to-graph
webnlg
bt5
text-generation-inference
Instructions to use Loria-MosAIk/bt5-webnlg-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Loria-MosAIk/bt5-webnlg-en-ru with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Loria-MosAIk/bt5-webnlg-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Loria-MosAIk/bt5-webnlg-en-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Streamline the usage notes around the examples
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Add verified text-to-graph input and output examples
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Point to the renamed WebNLG text-to-graph repository
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List the original paper and XQDT BibTeX entries on the model card
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Update reproduction credits and model documentation
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2 days ago
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Use the supported Hub task category for semantic parsing
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Publish reproduced WebNLG checkpoint and model card
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initial commit
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