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hezarai/distilbert-fa-pos-lscp-500k
distilbert-fa-pos-lscp-500k is a token classification model from hezarai. Use it when you need labels on individual words, such as names. It is set up for hezar.
ParsDistilBERT model trained on the LSCP-500k dataset for part of speech tagging.
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From the Hugging Face model README
ParsDistilBERT model trained on the LSCP-500k dataset for part of speech tagging.
pip install hezar
from hezar.models import Model
pos_model = Model.load("hezarai/distilbert-fa-pos-lscp-500k")
inputs = ["کتابخانه هوش مصنوعی هزار"]
pos_outputs = pos_model.predict(inputs)
print(pos_outputs)