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hundredeuk2
/
rm_opt

Text Classification
Transformers
PyTorch
opt
Model card Files Files and versions
xet
Community
1

Instructions to use hundredeuk2/rm_opt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hundredeuk2/rm_opt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hundredeuk2/rm_opt")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hundredeuk2/rm_opt")
    model = AutoModelForSequenceClassification.from_pretrained("hundredeuk2/rm_opt")
  • Notebooks
  • Google Colab
  • Kaggle
rm_opt
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  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
7507bfb verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    807 Bytes
    Upload OPTForSequenceClassification about 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 3 years ago
  • model.safetensors
    5.26 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    5.26 GB
    xet
    Upload OPTForSequenceClassification about 3 years ago
  • special_tokens_map.json
    548 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    870 Bytes
    Upload tokenizer about 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 3 years ago