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roberta-fa-pos-lscp-500k
hezarai/roberta-fa-pos-lscp-500k
roberta-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.
ParsRoBERTa model trained on the LSCP-500k dataset for part of speech tagging.
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At a glance
- Task
- Token Classification
- Library
- hezar
- Access
- Public
- Created
- Aug 12, 2023
- Updated
- Jan 14, 2025
- SHA
- 9663a8e5
Try a prompt
Base models
Model card
From the Hugging Face model README
ParsRoBERTa model trained on the LSCP-500k dataset for part of speech tagging.
Usage
pip install hezar
from hezar.models import Model
pos_model = Model.load("hezarai/roberta-fa-pos-lscp-500k")
inputs = ["کتابخانه هوش مصنوعی هزار"]
pos_outputs = pos_model.predict(inputs)
print(pos_outputs)
- Task
- Token Classification
- Library
- hezar
- Languages
- fa
- Created
- Aug 12, 2023
- Updated
- Jan 14, 2025