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
!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"
import spacy
nlp = spacy.load("xx_LeetSpeakNER_mstsb_mpnet")
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 |