tags: - spacy - token-classification language: - en model-index: - name: en_ner_fashion results: - task: name: NER type: token-classification metrics: - name: Precision type: precision value: 0.0 - name: Recall type: recall value: 0.0 - name: F Score type: f_score value: 0.0
Feature | Description |
---|---|
Name | en_ner_fashion |
Version | 0.0.0 |
spaCy | >=3.1.0,<3.2.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
Component | Labels |
---|---|
ner |
FASHION_BRAND |
Accuracy
Type | Score |
---|---|
ENTS_F |
0.00 |
ENTS_P |
0.00 |
ENTS_R |
0.00 |
TOK2VEC_LOSS |
1043.55 |
NER_LOSS |
1414323.43 |
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- NER Precisionself-reported0.000
- NER Recallself-reported0.000
- NER F Scoreself-reported0.000