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arxyzan
/
data2vec-roberta-base

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

Instructions to use arxyzan/data2vec-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arxyzan/data2vec-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="arxyzan/data2vec-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("arxyzan/data2vec-roberta-base")
    model = AutoModel.from_pretrained("arxyzan/data2vec-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
data2vec-roberta-base
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  • 2 contributors
History: 10 commits
arxyzan's picture
arxyzan
Update README.md
b6b8ae0 almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    1.12 kB
    Update README.md almost 3 years ago
  • config.json
    666 Bytes
    add model almost 4 years ago
  • merges.txt
    456 kB
    add tokenizer about 4 years ago
  • model.safetensors
    499 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    349 Bytes
    add tokenizer about 4 years ago
  • vocab.json
    798 kB
    add tokenizer about 4 years ago