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en_ner_sender_recipient
andreids/en_ner_sender_recipient
en_ner_sender_recipient is a token classification model from andreids. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
135 MB
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.whl38.2 MB · 40%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 6, 2023
- Updated
- Feb 6, 2023
- SHA
- 5ba2eab6
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_sender_recipient |
| Version | 0.0.2 |
| spaCy | >=3.4.3,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 20000 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 | 18.60 |
ENTS_P | 35.08 |
ENTS_R | 12.66 |
TOK2VEC_LOSS | 385.52 |
NER_LOSS | 4421.31 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 6, 2023
- Updated
- Feb 6, 2023