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bert-name-de0.1.1
wse-research/bert-name-de0.1.1
bert-name-de0.1.1 is a token classification model from wse-research. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
This is a NER-model trained using the spacy library in Python. It recognizes first names, second names and last names and uses a separate spacy model to find connected entities. It is based on spacy's German transform…
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Updated Apr 24, 2023
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Apr 17, 2023
- Updated
- Apr 24, 2023
- SHA
- 10c08b98
Model card
From the Hugging Face model README
This is a NER-model trained using the spacy library in Python. It recognizes first names, second names and last names and uses a separate spacy model to find connected entities. It is based on spacy's German transformer pipeline (bert-base-german-cased). You can use it as any other spacy-generated transformer model.
This model was created as part of the Qanary-NER-automl-component's multi result branch. To include it in this component, refer to the corresponding Readme chapter. There are images containing this, and other, models already available to download. A list can be found in the final chapter of the Readme.
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- de
- Created
- Apr 17, 2023
- Updated
- Apr 24, 2023