philipp-zettl/xx_eb_ner

Usage

Install the model via pip:

pip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/main/xx_eb_ner-any-py3-none-any.whl

For specific versions, please use the commits provided in the source repository. Example: version 0.1.0

pip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/c8585148cabcfd04feec0745c17b148a48933f45/xx_eb_ner-any-py3-none-any.whl

After installing the model with it's dependencies, you can use it like any other SpaCy model:

# Using spacy.load().
import spacy
nlp = spacy.load("xx_eb_ner")
# Importing as module.
import xx_eb_ner
nlp = xx_eb_ner.load()

Feature	Description
Name	xx_eb_ner
Version	0.9.0
spaCy	>=3.8.7,<3.9.0
Default Pipeline	tok2vec, ner
Components	tok2vec, ner
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	cc-by-nc-sa-4.0
Author	Philipp Zettl

Label Scheme

View label scheme (3 labels for 1 components)

Component	Labels
ner	COURSE_NAME, JOB_TITLE, LOCATION

Accuracy

Type	Score
ENTS_F	90.13
ENTS_P	90.97
ENTS_R	89.31
TOK2VEC_LOSS	4436612.42
NER_LOSS	1508716.21