How to use from the
Use from the
spaCy library
!pip install https://huggingface.co/Zlovoblachko/sentiment_parser/resolve/main/sentiment_parser-any-py3-none-any.whl

# Using spacy.load().
import spacy
nlp = spacy.load("sentiment_parser")

# Importing as module.
import sentiment_parser
nlp = sentiment_parser.load()
Feature Description
Name en_pipeline
Version 0.0.0
spaCy >=3.4.4,<3.5.0
Default Pipeline transformer, spancat
Components transformer, spancat
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (1 labels for 1 components)
Component Labels
spancat Collocation calque

Accuracy

Type Score
SPANS_SC_F 78.65
SPANS_SC_P 79.55
SPANS_SC_R 77.78
TRANSFORMER_LOSS 7535.29
SPANCAT_LOSS 148493.75
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