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en_pipeline
prof144/en_pipeline
en_pipeline is a token classification model from prof144. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
1.9 GB
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Other502 MB · 53%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- May 3, 2024
- Updated
- May 5, 2024
- SHA
- fefc21a3
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<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 (11 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | College Name, Companies worked at, Degree, Designation, Email Address, Graduation Year, Location, Name, Skills, UNKNOWN, Years of Experience |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 60.22 |
ENTS_P | 59.11 |
ENTS_R | 61.37 |
TRANSFORMER_LOSS | 26200.68 |
NER_LOSS | 290652.50 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- May 3, 2024
- Updated
- May 5, 2024