Downloads · 30 days
17
0% of all-time downloads
wietsedv/xlm-roberta-base-ft-udpos28-fa
xlm-roberta-base-ft-udpos28-fa is a token classification model from wietsedv. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
Downloads · 30 days
17
0% of all-time downloads
All-time downloads
8.2K
Public
Parameters
277M
2.2 GB on disk
Likes
2
Public
Click a slice to open those files.
.bin1.1 GB · 50%
How the weights are stored.
F32277M · 100%
From the Hugging Face model README
This model is part of our paper called:
Check the Space for more details.
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-fa")
model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-fa")