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kimsan0622
/
roberta-base

Feature Extraction
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use kimsan0622/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kimsan0622/roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="kimsan0622/roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("kimsan0622/roberta-base")
    model = AutoModel.from_pretrained("kimsan0622/roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base
547 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kimsan0622's picture
kimsan0622
Upload model
80d92ce about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    683 Bytes
    Upload model about 3 years ago
  • merges.txt
    923 kB
    Upload tokenizer about 3 years ago
  • pytorch_model.bin
    541 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    3.37 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    1.37 kB
    Upload tokenizer about 3 years ago
  • vocab.json
    1.36 MB
    Upload tokenizer about 3 years ago