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en_pipeline_ner_model_3
rame/en_pipeline_ner_model_3
en_pipeline_ner_model_3 is a token classification model from rame. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
512 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 6, 2024
- Updated
- Feb 6, 2024
- SHA
- 53667442
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline_ner_model_3 |
| Version | 0.0.0 |
| spaCy | >=3.7.2,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, 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 (4 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | allergy_name, cancer, chronic_disease, treatment |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 90.63 |
ENTS_P | 90.80 |
ENTS_R | 90.45 |
TRANSFORMER_LOSS | 204799.74 |
NER_LOSS | 235128.43 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 6, 2024
- Updated
- Feb 6, 2024