Huertas97/xx_LeetSpeakNER_mstsb_mpnet

Feature	Description
Name	xx_LeetSpeakNER_mstsb_mpnet
Version	0.0.0
spaCy	>=3.4.3,<3.5.0
Default Pipeline	transformer, ner
Components	transformer, ner
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

Usage

### UPDATE INSTALLATION WITH PACKAGE NAME
!pip install "xx_LeetSpeakNER_mstsb_mpnet @ https://huggingface.co/Huertas97/xx_LeetSpeakNER_mstsb_mpnet/resolve/main/xx_LeetSpeakNER_mstsb_mpnet-any-py3-none-any.whl"

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

# Importing as module.
import xx_LeetSpeakNER_mstsb_mpnet
nlp = xx_LeetSpeakNER_mstsb_mpnet.load()

Label Scheme

View label scheme (4 labels for 1 components)

Component	Labels
ner	INV_CAMO, LEETSPEAK, MIX, PUNCT_CAMO

Accuracy

Type	Score
ENTS_F	91.42
ENTS_P	91.24
ENTS_R	91.60
TRANSFORMER_LOSS	396910.59
NER_LOSS	373097.06