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AzerBert
language-ml-lab/AzerBert
AzerBert is a fill-mask model from language-ml-lab. Use it when you need the model to fill a missing word. It is set up for transformers.
- Type: BERT-based language model transformer - Description: AzerBERT is a pre-trained language model specifically tailored for the Iranian Azerbaijani language. It can be used for various NLP tasks, including text cl…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 21, 2023
- Updated
- Sep 29, 2023
- SHA
- 5349bbb8
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Model card
From the Hugging Face model README
AzerBERT
- Type: BERT-based language model transformer
- Description: AzerBERT is a pre-trained language model specifically tailored for the Iranian Azerbaijani language. It can be used for various NLP tasks, including text classification, named entity recognition, and more.
How to use
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="language-ml-lab/AzerBert")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/AzerBert")
model = AutoModelForMaskedLM.from_pretrained("language-ml-lab/AzerBert")
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- az
- Created
- Sep 21, 2023
- Updated
- Sep 29, 2023