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en_ner_sender_recipient
Lilya/en_ner_sender_recipient
en_ner_sender_recipient is a token classification model from Lilya. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Other659 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 15, 2023
- SHA
- a586ccf9
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_sender_recipient |
| Version | 1.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (2 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | RECIPIENT, SENDER |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 76.77 |
ENTS_P | 79.42 |
ENTS_R | 74.29 |
TOK2VEC_LOSS | 172291.20 |
NER_LOSS | 173143.05 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 14, 2023
- Updated
- Feb 15, 2023