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Jeevesh8
/
roberta_base_qqp_ft_44

Text Classification
Transformers
JAX
TensorBoard
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Jeevesh8/roberta_base_qqp_ft_44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jeevesh8/roberta_base_qqp_ft_44 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jeevesh8/roberta_base_qqp_ft_44")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/roberta_base_qqp_ft_44")
    model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/roberta_base_qqp_ft_44")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_base_qqp_ft_44
512 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 37 commits
Jeevesh8's picture
Jeevesh8
Saving weights and logs of step 68220
f944ed5 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    686 Bytes
    Saving weights and logs of step 0 over 2 years ago
  • events.out.tfevents.1700707926.gr048.hpc.nyu.edu.4019215.0.v2
    9.88 MB
    xet
    Saving weights and logs of step 68220 over 2 years ago
  • flax_model.msgpack
    499 MB
    xet
    Saving weights and logs of step 68220 over 2 years ago
  • merges.txt
    456 kB
    Saving weights and logs of step 0 over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Saving weights and logs of step 0 over 2 years ago
  • tokenizer.json
    2.11 MB
    Saving weights and logs of step 0 over 2 years ago
  • tokenizer_config.json
    1.22 kB
    Saving weights and logs of step 0 over 2 years ago
  • vocab.json
    798 kB
    Saving weights and logs of step 0 over 2 years ago