Downloads · 30 days
264
5% of all-time downloads
bert-fa-pos-lscp-500k
hezarai/bert-fa-pos-lscp-500k
bert-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.
ParsBERT model trained on the LSCP-500k dataset for part of speech tagging.
All-time downloads
5.6K
Public
Repo size
473 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt473 MB · 100%
At a glance
- Task
- Token Classification
- Library
- hezar
- Access
- Public
- Created
- Jul 29, 2023
- Updated
- Jan 14, 2025
- SHA
- b5190751
Try a prompt
Base models
Model card
From the Hugging Face model README
ParsBERT 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/bert-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
- Jul 29, 2023
- Updated
- Jan 14, 2025