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spr1916
/
rbrt_full_uda_ep5_large3

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

Instructions to use spr1916/rbrt_full_uda_ep5_large3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use spr1916/rbrt_full_uda_ep5_large3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="spr1916/rbrt_full_uda_ep5_large3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("spr1916/rbrt_full_uda_ep5_large3")
    model = AutoModel.from_pretrained("spr1916/rbrt_full_uda_ep5_large3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rbrt_full_uda_ep5_large3
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
spr1916's picture
spr1916
Upload model
9b24314 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    796 Bytes
    Upload model almost 3 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    Upload model almost 3 years ago