Transformers
PyTorch
Safetensors
English
bart
text2text-generation
seq2seq
relation-extraction
triple-generation
entity-linking
entity-type-linking
relation-linking
Eval Results (legacy)
Instructions to use ibm-research/knowgl-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/knowgl-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/knowgl-large") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/knowgl-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 67736f9
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README.md
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#### Citation
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```bibtex
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@inproceedings{
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author
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title
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booktitle
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}
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```
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#### Citation
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```bibtex
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@inproceedings{DBLP:conf/aaai/RossielloCMCG23,
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author = {Gaetano Rossiello and
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Md. Faisal Mahbub Chowdhury and
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Nandana Mihindukulasooriya and
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Owen Cornec and
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Alfio Massimiliano Gliozzo},
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title = {KnowGL: Knowledge Generation and Linking from Text},
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booktitle = {{AAAI}},
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pages = {16476--16478},
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publisher = {{AAAI} Press},
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year = {2023}
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}
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```
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