Comments (2)
Hi @anilozdemir96 ,
sorry for the long response time!
I've just connected this repo with Zenodo and prepared the first release. You can now use the following BibTeX entry:
@software{stefan_schweter_2020_3770924,
author = {Stefan Schweter},
title = {BERTurk - BERT models for Turkish},
month = apr,
year = 2020,
publisher = {Zenodo},
version = {1.0.0},
doi = {10.5281/zenodo.3770924},
url = {https://doi.org/10.5281/zenodo.3770924}
}
when you want to cite the model(s) :)
from turkish-bert.
Thank you so much Stefan !.
from turkish-bert.
Related Issues (20)
- Summarization and Classificaiton fine-tune HOT 2
- Question HOT 1
- Electra Model HOT 2
- fill-mask HOT 2
- Vocabs Genration HOT 8
- Any plan for Turkish T5? HOT 2
- Why `handle_chinese_chars=False`? HOT 2
- How to get all hidden layers' output of pre-trained BERTurk model in HuggingFace Transformers library? HOT 2
- ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: <tf.Tensor 'args_0:0' shape=() dtype=float32> HOT 3
- ValueError: Must specify max_steps > 0, given: 0 HOT 6
- TensorFlow Checkpoints for Fine-Tuning HOT 1
- AssertionError: ('Pointer shape torch.Size([256]) and array shape (64,) mismatched', torch.Size([256]), (64,)) HOT 6
- Q: Using as a classifier
- DistilBERTurk training for question answering failed HOT 8
- PoS tagging HOT 3
- CHEATSHEET for ConvBERT? HOT 6
- BERTurk Training Dataset Preparation HOT 6
- bert uncased tf checkpoints HOT 8
- Training Data HOT 3
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from turkish-bert.