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it_spacy_ner_trf
nickprock/it_spacy_ner_trf
it_spacy_ner_trf is a token classification model from nickprock. 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.
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023
- SHA
- a54ea29a
Try a prompt
Datasets
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | it_spacy_ner_trf |
| Version | 0.1 |
| spaCy | >=3.5.1,<3.6.0 |
| Default Pipeline | token_classification_transformer |
| Components | token_classification_transformer |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | tner/wikiann |
| License | MIT |
| Author | Nicola Procopio |
Description
SpaCy version of nickprock/bert-italian-finetuned-ner.
The original model is wrapped by spacy-wrap
Use it in SpaCy
!pip install https://huggingface.co/nickprock/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl
import spacy
nlp = spacy.load("it_spacy_ner_trf")
doc = nlp("Domenica andrò allo stadio con Giovanna a guardare la Fiorentina.")
for ent in doc.ents:
print(ent.text, ent.label_)
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- it
- Created
- Apr 18, 2023
- Updated
- Apr 18, 2023