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en_pipeline
Shree17/en_pipeline
en_pipeline is a token classification model from Shree17. 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
- Oct 5, 2023
- Updated
- Oct 5, 2023
- SHA
- 6b71a6b1
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.1,<3.8.0 |
| 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 | ACTION, ORG, PRODUCT_VARIANT |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 93.13 |
ENTS_P | 87.85 |
ENTS_R | 99.09 |
TOK2VEC_LOSS | 8503.57 |
NER_LOSS | 411101.24 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Oct 5, 2023
- Updated
- Oct 5, 2023