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bert-base-turkish-cased
loodos/bert-base-turkish-cased
bert-base-turkish-cased is a machine learning model from loodos. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
As R&D Team at Loodos, we release cased and uncased versions of most recent language models for Turkish. More details about pretrained models and evaluations on downstream tasks can be found here (our repo).
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2021
- SHA
- 6dd34c6f
Model card
From the Hugging Face model README
Turkish Language Models with Huggingface's Transformers
As R&D Team at Loodos, we release cased and uncased versions of most recent language models for Turkish. More details about pretrained models and evaluations on downstream tasks can be found here (our repo).
Turkish BERT-Base (cased)
This is BERT-Base model which has 12 encoder layers with 768 hidden layer size trained on cased Turkish dataset.
Usage
Using AutoModel and AutoTokenizer from Transformers, you can import the model as described below.
from transformers import AutoModel, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("loodos/bert-base-turkish-cased")
model = AutoModel.from_pretrained("loodos/bert-base-turkish-cased")
Details and Contact
You contact us to ask a question, open an issue or give feedback via our github repo.
Acknowledgments
Many thanks to TFRC Team for providing us cloud TPUs on Tensorflow Research Cloud to train our models.
- Library
- transformers
- Type
- bert
- Languages
- tr
- Created
- Mar 2, 2022
- Updated
- May 19, 2021