Etietop/data_analyst_jobs
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How to use Etietop/en_pipeline with spaCy:
!pip install https://huggingface.co/Etietop/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl
# Using spacy.load().
import spacy
nlp = spacy.load("en_pipeline")
# Importing as module.
import en_pipeline
nlp = en_pipeline.load()| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.4,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | Research at ITMO University. Dataset from Google Search Jobs |
| License | Academic Free License |
| Author | Etietop Abraham |
| Component | Labels |
|---|---|
ner |
Certifications, Duties and Responsibilities, Education, Experience, Industry, Job Title, Skills, Soft Skills, Tools and Technologies |
| Type | Score |
|---|---|
ENTS_F |
94.31 |
ENTS_P |
90.06 |
ENTS_R |
100.00 |
TOK2VEC_LOSS |
483216.60 |
NER_LOSS |
858473.26 |