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HiImHa
/
phobert-cross-encoder

Text Classification
Transformers
Safetensors
roberta
reranking
cross-encoder
vietnamese
phobert
rag
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use HiImHa/phobert-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HiImHa/phobert-cross-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="HiImHa/phobert-cross-encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("HiImHa/phobert-cross-encoder")
    model = AutoModelForSequenceClassification.from_pretrained("HiImHa/phobert-cross-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
phobert-cross-encoder
542 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
HiImHa's picture
HiImHa
Update README.md
a638e0b verified 12 days ago
  • .gitattributes
    1.52 kB
    initial commit 12 days ago
  • README.md
    4.17 kB
    Update README.md 12 days ago
  • added_tokens.json
    22 Bytes
    Upload tokenizer 12 days ago
  • bpe.codes
    1.14 MB
    Upload tokenizer 12 days ago
  • config.json
    821 Bytes
    Upload RobertaForSequenceClassification 12 days ago
  • model.safetensors
    540 MB
    xet
    Upload RobertaForSequenceClassification 12 days ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer 12 days ago
  • vocab.txt
    895 kB
    Upload tokenizer 12 days ago