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imamnurby
/
RoBERTduino

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

Instructions to use imamnurby/RoBERTduino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imamnurby/RoBERTduino with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="imamnurby/RoBERTduino")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("imamnurby/RoBERTduino")
    model = AutoModel.from_pretrained("imamnurby/RoBERTduino")
  • Notebooks
  • Google Colab
  • Kaggle
RoBERTduino
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
imamnurby's picture
imamnurby
add tokenizer
b286b8b over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • config.json
    700 Bytes
    add model over 3 years ago
  • merges.txt
    192 kB
    add tokenizer over 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer over 3 years ago
  • tokenizer.json
    895 kB
    add tokenizer over 3 years ago
  • tokenizer_config.json
    638 Bytes
    add tokenizer over 3 years ago
  • vocab.json
    333 kB
    add tokenizer over 3 years ago