Transformers
Safetensors
mbart
text2text-generation
v1.0.0
entity-disambiguation
named-entity-linking
entity-linking
Instructions to use emanuelaboros/globalise-entity-linker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emanuelaboros/globalise-entity-linker with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("emanuelaboros/globalise-entity-linker") model = AutoModelForSeq2SeqLM.from_pretrained("emanuelaboros/globalise-entity-linker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Model Card for `emanuelaboros/historic-nel`
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The
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REtrieval) proposed by [De Cao et al](https://arxiv.org/abs/2103.12528), a sequence-to-sequence architecture for entity
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disambiguation based on [mBART](https://arxiv.org/abs/2001.08210). It uses **constrained generation** to output entity
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names mapped to Wikidata/QIDs.
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# Model Card for `emanuelaboros/historic-nel`
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The model is based on **mGENRE** (multilingual Generative ENtity
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REtrieval) proposed by [De Cao et al](https://arxiv.org/abs/2103.12528), a sequence-to-sequence architecture for entity
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disambiguation based on [mBART](https://arxiv.org/abs/2001.08210). It uses **constrained generation** to output entity
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names mapped to Wikidata/QIDs.
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