| Feature | Description |
|---|---|
| Name | en_ner_sender |
| Version | 0.0.0 |
| 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
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
SENDER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
0.07 |
ENTS_P |
0.04 |
ENTS_R |
0.16 |
TOK2VEC_LOSS |
0.00 |
NER_LOSS |
17200.00 |
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Evaluation results
- NER Precisionself-reported0.000
- NER Recallself-reported0.002
- NER F Scoreself-reported0.001
!pip install https://huggingface.co/andreids/en_ner_sender/resolve/main/en_ner_sender-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ner_sender") # Importing as module. import en_ner_sender nlp = en_ner_sender.load()