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commits license license license_for_phobert_v2 license_for_phobert_v2 readme md readme md readme_fairseq md readme_fairseq md view all files repository files navigation readme mit license agpl 3 0 license more items table of contents introduction using phobert with transformers installation pre trained models example usage using phobert with fairseq notes phobert pre trained language models for vietnamese pre trained phobert models are the state of the art language models for vietnamese pho i e phở is a popular food in vietnam two phobert versions of base and large are the first public large scale monolingual language models pre trained for vietnamese phobert pre training approach is based on roberta which optimizes the bert pre training procedure for more robust performance phobert outperforms previous monolingual and multilingual approaches obtaining new state of the art performances on four downstream vietnamese nlp tasks of part of speech tagging dependency parsing named entity recognition and natural language inference the general architecture and experimental results of phobert can be found in our paper inproceedings phobert title phobert pre trained language models for vietnamese author dat quoc nguyen and anh tuan nguyen booktitle findings of the association for computational linguistics emnlp 2020 year 2020 pages 1037 1042 please cite our paper when phobert is used to help produce published results or is incorporated into other software using phobert with transformers installation install transformers with pip pip install transformers or install transformers from source note that we merged a slow tokenizer for phobert into the main transformers branch the process of merging a fast tokenizer for phobert is in the discussion as mentioned in this pull request if users would like to utilize the fast tokenizer the users might install transformers as follows git clone single branch branch fast_tokenizers_bartpho_phobert_bertweet https github com datquocnguyen transformers git cd transformers pip3 install e install tokenizers with pip pip3 install tokenizers pre trained models model params arch max length pre training data license vinai phobert base v2 135m base 256 20gb of wikipedia and news texts 120gb of texts from oscar 2301 gnu affero gpl v3 vinai phobert base 135m base 256 20gb of wikipedia and news texts mit license vinai phobert large 370m large 256 20gb of wikipedia and news texts mit license example usage import torch from transformers import automodel autotokenizer phobert automodel from_pretrained vinai phobert base v2 tokenizer autotokenizer from_pretrained vinai phobert base v2 input text must be already word segmented sentence chúng_tôi là những nghiên_cứu_viên input_ids torch tensor tokenizer encode sentence with torch no_grad features phobert input_ids models outputs are now tuples with tensorflow 2 0 from transformers import tfautomodel phobert tfautomodel from_pretrained vinai phobert base using phobert with fairseq please see details at here notes in case the input texts are raw i e without word segmentation a word segmenter must be applied to produce word segmented texts before feeding to phobert as phobert employed the rdrsegmenter from vncorenlp to pre process the pre training data including vietnamese tone normalization and word and sentence segmentation it is recommended to also use the same word segmenter for phobert based downstream applications w r t the input raw texts installation pip install py_vncorenlp example usage import py_vncorenlp automatically download vncorenlp components from the original repository and save them in some local machine folder py_vncorenlp download_model save_dir absolute path to vncorenlp load the word and sentence segmentation component rdrsegmenter py_vncorenlp vncorenlp annotators wseg save_dir absolute path to vncorenlp text ông nguyễn khắc chúc đang làm việc tại đại học quốc gia hà nội bà lan vợ ông chúc cũng làm việc tại đây output rdrsegmenter word_segment text print output ông nguyễn_khắc_chúc đang làm_việc tại đại_học quốc_gia hà_nội bà lan vợ ông chúc cũng làm_việc tại đây about phobert pre trained language models for vietnamese emnlp 2020 findings topics deep learning vietnamese transformers python3 named entity recognition language models ner natural language inference bert pos tagging vietnamese nlp nli fairseq vncorenlp roberta bert embeddings rdrsegmenter part of speech tagging transformers library phobert resources readme license mit agpl 3 0 licenses found licenses found mit license agpl 3 0 license_for_phobert_v2 uh oh there was an error while loading please reload this page activity custom properties stars 791 stars watchers 19 watching forks 113 forks report repository releases no releases published packages 0 uh oh there was an error while loading please reload this page uh oh there was an error while loading please reload this page contributors uh oh there was an error while loading please reload this page footer 2026 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