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breadlicker45
/
rlhf-class

Text Classification
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use breadlicker45/rlhf-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use breadlicker45/rlhf-class with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="breadlicker45/rlhf-class")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("breadlicker45/rlhf-class")
    model = AutoModelForSequenceClassification.from_pretrained("breadlicker45/rlhf-class")
  • Notebooks
  • Google Colab
  • Kaggle
rlhf-class
269 MB
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  • 2 contributors
History: 2 commits
breadlicker45's picture
breadlicker45
Upload 7 files
79a3957 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • added_tokens.json
    77 Bytes
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  • config.json
    690 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
    xet
    Upload 7 files almost 3 years ago
  • special_tokens_map.json
    193 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    388 Bytes
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  • vocab.txt
    232 kB
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