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VoVanPhuc
/
unsup-SimCSE-VietNamese-phobert-base

Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, RobertaForCL
    
    tokenizer = AutoTokenizer.from_pretrained("VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base")
    model = RobertaForCL.from_pretrained("VoVanPhuc/unsup-SimCSE-VietNamese-phobert-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
unsup-SimCSE-VietNamese-phobert-base
544 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
VoVanPhuc's picture
VoVanPhuc
update pretrain
fa3b072 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    5.17 kB
    update pretrain about 5 years ago
  • added_tokens.json
    17 Bytes
    Initial commit about 5 years ago
  • bpe.codes
    1.14 MB
    Initial commit about 5 years ago
  • config.json
    733 Bytes
    Initial commit about 5 years ago
  • pytorch_model.bin
    542 MB
    xet
    update pretrain about 5 years ago
  • special_tokens_map.json
    150 Bytes
    Initial commit about 5 years ago
  • tokenizer_config.json
    270 Bytes
    Initial commit about 5 years ago
  • vocab.txt
    895 kB
    Initial commit about 5 years ago