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1. [Introduction](#introduction)
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2. [Pretrain model](#models)
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3. [Using SimeCSE_Vietnamese with `sentences-transformers`](#sentences-transformers)
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4. [Using SimeCSE_Vietnamese with `transformers`](#transformers)
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\t- [Example usage](#usage2)
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# <a name="introduction"></a> SimeCSE_Vietnamese: Simple Contrastive Learning of Sentence Embeddings with Vietnamese
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Pre-trained SimeCSE_Vietnamese models are the state-of-the-art of Sentence Embeddings with Vietnamese :
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## Pre-trained models <a name="models"></a>
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Model | #params | Arch
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[`VoVanPhuc/sup-SimCSE-VietNamese-phobert-base`](https://huggingface.co/VoVanPhuc/sup-SimCSE-VietNamese-phobert-base) | 135M | base
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[`VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base`](https://huggingface.co/VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base) | 135M | base
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### Installation <a name="install1"></a>
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- Install `sentence-transformers`:
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### Example usage <a name="usage1"></a>
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### Installation <a name="install2"></a>
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- Install `transformers`:
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### Example usage <a name="usage2"></a>
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## Citation
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@inproceedings{phobert,
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title = {{PhoBERT: Pre-trained language models for Vietnamese}},
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1. [Introduction](#introduction)
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2. [Pretrain model](#models)
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3. [Using SimeCSE_Vietnamese with `sentences-transformers`](#sentences-transformers)
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\\t- [Installation](#install1)
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\\t- [Example usage](#usage1)
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4. [Using SimeCSE_Vietnamese with `transformers`](#transformers)
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\\t- [Installation](#install2)
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\\t- [Example usage](#usage2)
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# <a name="introduction"></a> SimeCSE_Vietnamese: Simple Contrastive Learning of Sentence Embeddings with Vietnamese
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Pre-trained SimeCSE_Vietnamese models are the state-of-the-art of Sentence Embeddings with Vietnamese :
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## Pre-trained models <a name="models"></a>
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Model | #params | Arch.\\t
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---|---|---
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[`VoVanPhuc/sup-SimCSE-VietNamese-phobert-base`](https://huggingface.co/VoVanPhuc/sup-SimCSE-VietNamese-phobert-base) | 135M | base
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[`VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base`](https://huggingface.co/VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base) | 135M | base
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### Installation <a name="install1"></a>
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- Install `sentence-transformers`:
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\\t- `pip install -U sentence-transformers`
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\\t
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### Example usage <a name="usage1"></a>
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### Installation <a name="install2"></a>
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- Install `transformers`:
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\\t- `pip install -U transformers`
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\\t
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### Example usage <a name="usage2"></a>
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## Citation
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\\t@article{gao2021simcse,
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\\t title={{SimCSE}: Simple Contrastive Learning of Sentence Embeddings},
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\\t author={Gao, Tianyu and Yao, Xingcheng and Chen, Danqi},
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\\t journal={arXiv preprint arXiv:2104.08821},
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\\t year={2021}
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\\t}
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@inproceedings{phobert,
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title = {{PhoBERT: Pre-trained language models for Vietnamese}},
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