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en_resume_ner_pipeline
kalyanram3600/en_resume_ner_pipeline
en_resume_ner_pipeline is a token classification model from kalyanram3600. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
A spaCy NER pipeline to extract resume information like name, skills, degree, etc.
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Jun 17, 2025
- Updated
- Jun 17, 2025
- SHA
- 028dcca5
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Model card
From the Hugging Face model README
A spaCy NER pipeline to extract resume information like name, skills, degree, etc.
| Feature | Description |
|---|---|
| Name | en_resume_ner_pipeline |
| Version | 0.1.1 |
| spaCy | >=3.8.7,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Kalyan |
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 | 95.30 |
ENTS_P | 93.34 |
ENTS_R | 97.35 |
TRANSFORMER_LOSS | 2380063.94 |
NER_LOSS | 1373288.48 |
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- en
- Created
- Jun 17, 2025
- Updated
- Jun 17, 2025