Instructions to use nickprock/it_spacy_ner_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nickprock/it_spacy_ner_trf with spaCy:
!pip install https://huggingface.co/nickprock/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("it_spacy_ner_trf") # Importing as module. import it_spacy_ner_trf nlp = it_spacy_ner_trf.load() - Notebooks
- Google Colab
- Kaggle
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| **Default Pipeline** | `token_classification_transformer` |
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| **Components** | `token_classification_transformer` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Author** | [Nicola Procopio](https://github.com/nickprock) |
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| **Default Pipeline** | `token_classification_transformer` |
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| **Components** | `token_classification_transformer` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | [tner/wikiann](https://huggingface.co/datasets/tner/wikiann) |
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| **License** | `MIT` |
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| **Author** | [Nicola Procopio](https://github.com/nickprock) |
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