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en_resume_ner
JeswinMS4/en_resume_ner
en_resume_ner is a token classification model from JeswinMS4. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
193
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Repo size
947 MB
Likes
3
Public
Repo makeup
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Other502 MB · 53%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024
- SHA
- 5d4d0c8e
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_resume_ner |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<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 (18 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | AWARDS, CERTIFICATION, COLLEGE NAME, COMPANIES WORKED AT, CONTACT, DEGREE, DESIGNATION, EMAIL ADDRESS, LANGUAGE, LINKEDIN LINK, LOCATION, NAME, SKILLS, UNIVERSITY, Unlabelled, WORKED AS, YEAR OF GRADUATION, YEARS OF EXPERIENCE |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 86.03 |
ENTS_P | 85.71 |
ENTS_R | 86.35 |
TRANSFORMER_LOSS | 396847.27 |
NER_LOSS | 525302.40 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024