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

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

# Importing as module.
import grc_roberta_lemma_trf
nlp = grc_roberta_lemma_trf.load()
Feature Description
Name grc_roberta_lemma_trf
Version 3.7
spaCy >=3.7.4,<3.8.0
Default Pipeline transformer, trainable_lemmatizer
Components transformer, trainable_lemmatizer
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Accuracy

Type Score
LEMMA_ACC 96.06
TRANSFORMER_LOSS 51342.08
TRAINABLE_LEMMATIZER_LOSS 681066.76
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Evaluation results