Fill-Mask
Transformers
PyTorch
Safetensors
Vietnamese
xlm-roberta
Vietnamese Question Answering
Vietnamese Reading Comprehension
Vietnamese Language Understanding
Vietnamese Natural Language Inference
Instructions to use uitnlp/CafeBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uitnlp/CafeBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uitnlp/CafeBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uitnlp/CafeBERT") model = AutoModelForMaskedLM.from_pretrained("uitnlp/CafeBERT") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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CafeBERT is a large-scale multilingual language model with strong support for Vietnamese. The model is based on XLM-Roberta (the state-of-the-art multilingual language model) and is enhanced with a large Vietnamese corpus with many domains: Wikipedia, newspapers... CafeBERT has outstanding performance on the VLUE benchmark and other tasks, such as machine reading comprehension, text classification, natural language inference, part-of-speech tagging...
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The general architecture and experimental results of
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@inproceedings{do-etal-2024-vlue,
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CafeBERT is a large-scale multilingual language model with strong support for Vietnamese. The model is based on XLM-Roberta (the state-of-the-art multilingual language model) and is enhanced with a large Vietnamese corpus with many domains: Wikipedia, newspapers... CafeBERT has outstanding performance on the VLUE benchmark and other tasks, such as machine reading comprehension, text classification, natural language inference, part-of-speech tagging...
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The general architecture and experimental results of CafeBERT can be found in our [paper](https://arxiv.org/abs/2403.15882):
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```
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@inproceedings{do-etal-2024-vlue,
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