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es_pipeline
Ahmed-ibn-Harun/es_pipeline
es_pipeline is a token classification model from Ahmed-ibn-Harun. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
11.7 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023
- SHA
- e415fa40
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | es_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| 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
<details> <summary>View label scheme (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | NOUN, PNOUN, VERB |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 99.46 |
ENTS_P | 99.38 |
ENTS_R | 99.53 |
TOK2VEC_LOSS | 8110.20 |
NER_LOSS | 35115.85 |
- Task
- Token Classification
- Library
- spacy
- Languages
- es
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023