Fill-Mask
Transformers
PyTorch
TensorFlow
JAX
Safetensors
Javanese
roberta
javanese-roberta-small-imdb
Instructions to use w11wo/javanese-roberta-small-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/javanese-roberta-small-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="w11wo/javanese-roberta-small-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("w11wo/javanese-roberta-small-imdb") model = AutoModelForMaskedLM.from_pretrained("w11wo/javanese-roberta-small-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Do consider the biases which came from the IMDB review that may be carried over into the results of this model.
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## Author
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Javanese RoBERTa Small was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Google Colaboratory using their free GPU access.
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Do consider the biases which came from the IMDB review that may be carried over into the results of this model.
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## Author
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Javanese RoBERTa Small was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Google Colaboratory using their free GPU access.
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## Citation
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If you use any of our models in your research, please cite:
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```bib
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@inproceedings{wongso2021causal,
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title={Causal and Masked Language Modeling of Javanese Language using Transformer-based Architectures},
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author={Wongso, Wilson and Setiawan, David Samuel and Suhartono, Derwin},
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booktitle={2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
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pages={1--7},
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year={2021},
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organization={IEEE}
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}
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```
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